- published: 12 Dec 2012
- views: 26506
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The most widely used probability distribution function is the Gaussian curve, also known as the normal distribution or the bell curve. In this video I introduce the Gaussian, and its integral.
In probability theory, the normal (or Gaussian) distribution is a very commonly occurring continuous probability distribution—a function that tells the probability of a number in some context falling between any two real numbers. For example, the distribution of income measured on a log scale is normally distributed in some contexts, as is often the distribution of grades on a test administered to many people. Normal distributions are extremely important in statistics and are often used in the natural and social sciences for real-valued random variables whose distributions are not known.
The normal distribution is immensely useful because of the central limit theorem, which states that, under mild conditions, the mean of many random variables independently drawn from the same distribution is distributed approximately normally, irrespective of the form of the original distribution: physical quantities that are expected to be the sum of many independent processes (such as measurement errors) often have a distribution very close to the normal. Moreover, many results and methods (such as propagation of uncertainty and least squares parameter fitting) can be derived analytically in explicit form when the relevant variables are normally distributed.
The Gaussian distribution is sometimes informally called the bell curve. However, many other distributions are bell-shaped (such as Cauchy's, Student's, and logistic). The terms Gaussian function and Gaussian bell curve are also ambiguous because they sometimes refer to multiples of the normal distribution that cannot be directly interpreted in terms of probabilities. http://www.garguniversity.com
- published: 28 Sep 2013
- views: 28463
A clever way to evaluate the Gaussian Integral analytically. A great math trick to show your friends.
- published: 28 Dec 2011
- views: 66240
In mathematics, a Gaussian function (named after Carl Friedrich Gauss) is a function of the form:
This video is targeted to blind users.
Attribution:
Article text available under CC-BY-SA
Creative Commons image source in video
- published: 21 Jul 2014
- views: 986
Fourier transform of Gaussian function is discussed in this lecture. Fourier transform of Gaussian function is another Gaussian function.
- published: 16 Feb 2017
- views: 678
This video lecture explains how one can solve the integration using the properties of Gaussian probability density function.
- published: 07 May 2014
- views: 3556
MSE101 Mathematics - Data Analysis
Lecture 4.1 - Integrating the Gaussian between limits - the erf function
Course webpage with notes: http://dyedavid.com/mse101
Dr Sam Cooper, Department of Materials, Imperial College, London, UK
- published: 05 Jan 2016
- views: 2225
The gaussian blur algorithm is one of the most widely used blurring algorithms. It is accomplished by applying a convolution kernel to every pixel of an image, and averaging each value of each color channel of each pixel with the corresponding elements of the convolution matrix. You can also weigh the kernel so that each pixel processed takes a fraction of its neighboring pixels instead of the whole value.
LIVE DEMO: http://easylearntutorial.com/live-demo/gaussian-blur-image-processing-algorithm.php
The algorithm (source: WikiPedia)
The Big-O value for the Gaussian blur algorithm is O(Kw * Kh * Iw * Ih), where K[w,h] and I[w,h] are the width and height of the kernel and image, respectively.
Programming tutorials by Easy Learn Tutorial - because anyone can learn how to become an expert software and web developer!
Copyright (c) 2013 Rodrigo Silveira - http://www.easylearntutorial.com
- published: 01 Aug 2014
- views: 24089
Probability density functions for continuous random variables.
Practice this yourself on Khan Academy right now: https://www.khanacademy.org/e/probability-models?utm_source=YTdescription&utm;_medium=YTdescription&utm;_campaign=YTdescription
Watch the next lesson: https://www.khanacademy.org/math/probability/random-variables-topic/expected-value/v/term-life-insurance-and-death-probability?utm_source=YT&utm;_medium=Desc&utm;_campaign=ProbabilityandStatistics
Missed the previous lesson?
https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/discrete-probability-distribution?utm_source=YT&utm;_medium=Desc&utm;_campaign=ProbabilityandStatistics
Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it!
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to KhanAcademy’s Probability and Statistics channel:
https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1
Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
- published: 16 Feb 2009
- views: 973128
The Gaussian function has an important role in PDEs and so we go over direct computation of the this function
- published: 07 Apr 2014
- views: 9254
Gaussian function
In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the form:
for arbitrary real constants a, b and c. It is named after the mathematician Carl Friedrich Gauss.
The graph of a Gaussian is a characteristic symmetric "bell curve" shape. The parameter a is the height of the curve's peak, b is the position of the center of the peak and c (the standard deviation, sometimes called the Gaussian RMS width) controls the width of the "bell".
Gaussian functions are widely used in statistics where they describe the normal distributions, in signal processing where they serve to define Gaussian filters, in image processing where two-dimensional Gaussians are used for Gaussian blurs, and in mathematics where they are used to solve heat equations and diffusion equations and to define the Weierstrass transform.
Properties
Gaussian functions arise by composing the exponential function with a concave quadratic function. The Gaussian functions are thus those functions whose logarithm is a concave quadratic function.
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Gaussian_function
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
Khan Academy
Khan Academy is a non-profit educational organization created in 2006 by educator Salman Khan with the aim of providing a free, world-class education for anyone, anywhere. The organization produces short lectures in the form of YouTube videos. In addition to micro lectures, the organization's website features practice exercises and tools for educators. All resources are available for free to anyone around the world. The main language of the website is English, but the content is also available in other languages.
History
The founder of the organization, Salman Khan, was born in New Orleans, Louisiana, United States to immigrant parents from Bangladesh and India. After earning three degrees from the Massachusetts Institute of Technology (a BS in mathematics, a BS in electrical engineering and computer science, and an MEng in electrical engineering and computer science), he pursued an MBA from Harvard Business School.
In late 2004, Khan began tutoring his cousin Nadia who needed help with math using Yahoo!'s Doodle notepad.When other relatives and friends sought similar help, he decided that it would be more practical to distribute the tutorials on YouTube. The videos' popularity and the testimonials of appreciative students prompted Khan to quit his job in finance as a hedge fund analyst at Connective Capital Management in 2009, and focus on the tutorials (then released under the moniker "Khan Academy") full-time.
This page contains text from Wikipedia, the Free Encyclopedia -
https://wn.com/Khan_Academy
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
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4:28Gaussian
GaussianGaussian
The most widely used probability distribution function is the Gaussian curve, also known as the normal distribution or the bell curve. In this video I introduce the Gaussian, and its integral. -
7:46Concept of Gaussian distribution for Dummies
Concept of Gaussian distribution for DummiesConcept of Gaussian distribution for Dummies
In probability theory, the normal (or Gaussian) distribution is a very commonly occurring continuous probability distribution—a function that tells the probability of a number in some context falling between any two real numbers. For example, the distribution of income measured on a log scale is normally distributed in some contexts, as is often the distribution of grades on a test administered to many people. Normal distributions are extremely important in statistics and are often used in the natural and social sciences for real-valued random variables whose distributions are not known. The normal distribution is immensely useful because of the central limit theorem, which states that, under mild conditions, the mean of many random variables independently drawn from the same distribution is distributed approximately normally, irrespective of the form of the original distribution: physical quantities that are expected to be the sum of many independent processes (such as measurement errors) often have a distribution very close to the normal. Moreover, many results and methods (such as propagation of uncertainty and least squares parameter fitting) can be derived analytically in explicit form when the relevant variables are normally distributed. The Gaussian distribution is sometimes informally called the bell curve. However, many other distributions are bell-shaped (such as Cauchy's, Student's, and logistic). The terms Gaussian function and Gaussian bell curve are also ambiguous because they sometimes refer to multiples of the normal distribution that cannot be directly interpreted in terms of probabilities. http://www.garguniversity.com -
5:22Evaluation of the Gaussian Integral exp(-x^2) - Cool Math Trick
Evaluation of the Gaussian Integral exp(-x^2) - Cool Math TrickEvaluation of the Gaussian Integral exp(-x^2) - Cool Math Trick
A clever way to evaluate the Gaussian Integral analytically. A great math trick to show your friends. -
12:50Gaussian function
Gaussian functionGaussian function
In mathematics, a Gaussian function (named after Carl Friedrich Gauss) is a function of the form: This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video -
6:59Lecture on Fourier Transform of Gaussian Function
Lecture on Fourier Transform of Gaussian FunctionLecture on Fourier Transform of Gaussian Function
Fourier transform of Gaussian function is discussed in this lecture. Fourier transform of Gaussian function is another Gaussian function. -
10:03GATE Exam Gaussian Probability Density Function Lecture by Kishore Kashyap
GATE Exam Gaussian Probability Density Function Lecture by Kishore KashyapGATE Exam Gaussian Probability Density Function Lecture by Kishore Kashyap
This video lecture explains how one can solve the integration using the properties of Gaussian probability density function. -
19:19MSE101 Data Analysis - L4.2 Integrating the Gaussian between limits - the erf function
MSE101 Data Analysis - L4.2 Integrating the Gaussian between limits - the erf functionMSE101 Data Analysis - L4.2 Integrating the Gaussian between limits - the erf function
MSE101 Mathematics - Data Analysis Lecture 4.1 - Integrating the Gaussian between limits - the erf function Course webpage with notes: http://dyedavid.com/mse101 Dr Sam Cooper, Department of Materials, Imperial College, London, UK -
4:28Gaussian Blur - Image Processing Algorithm
Gaussian Blur - Image Processing AlgorithmGaussian Blur - Image Processing Algorithm
The gaussian blur algorithm is one of the most widely used blurring algorithms. It is accomplished by applying a convolution kernel to every pixel of an image, and averaging each value of each color channel of each pixel with the corresponding elements of the convolution matrix. You can also weigh the kernel so that each pixel processed takes a fraction of its neighboring pixels instead of the whole value. LIVE DEMO: http://easylearntutorial.com/live-demo/gaussian-blur-image-processing-algorithm.php The algorithm (source: WikiPedia) The Big-O value for the Gaussian blur algorithm is O(Kw * Kh * Iw * Ih), where K[w,h] and I[w,h] are the width and height of the kernel and image, respectively. Programming tutorials by Easy Learn Tutorial - because anyone can learn how to become an expert software and web developer! Copyright (c) 2013 Rodrigo Silveira - http://www.easylearntutorial.com -
10:02Probability density functions | Probability and Statistics | Khan Academy
Probability density functions | Probability and Statistics | Khan AcademyProbability density functions | Probability and Statistics | Khan Academy
Probability density functions for continuous random variables. Practice this yourself on Khan Academy right now: https://www.khanacademy.org/e/probability-models?utm_source=YTdescription&utm;_medium=YTdescription&utm;_campaign=YTdescription Watch the next lesson: https://www.khanacademy.org/math/probability/random-variables-topic/expected-value/v/term-life-insurance-and-death-probability?utm_source=YT&utm;_medium=Desc&utm;_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/discrete-probability-distribution?utm_source=YT&utm;_medium=Desc&utm;_campaign=ProbabilityandStatistics Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it! About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Probability and Statistics channel: https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy -
19:5945-Fourier transform of a Gaussian
45-Fourier transform of a Gaussian45-Fourier transform of a Gaussian
The Gaussian function has an important role in PDEs and so we go over direct computation of the this function
-
Gaussian
The most widely used probability distribution function is the Gaussian curve, also known as the normal distribution or the bell curve. In this video I introduce the Gaussian, and its integral.
published: 12 Dec 2012 -
Concept of Gaussian distribution for Dummies
In probability theory, the normal (or Gaussian) distribution is a very commonly occurring continuous probability distribution—a function that tells the probability of a number in some context falling between any two real numbers. For example, the distribution of income measured on a log scale is normally distributed in some contexts, as is often the distribution of grades on a test administered to many people. Normal distributions are extremely important in statistics and are often used in the natural and social sciences for real-valued random variables whose distributions are not known. The normal distribution is immensely useful because of the central limit theorem, which states that, under mild conditions, the mean of many random variables independently drawn from the same distribution ...
published: 28 Sep 2013 -
Evaluation of the Gaussian Integral exp(-x^2) - Cool Math Trick
A clever way to evaluate the Gaussian Integral analytically. A great math trick to show your friends.
published: 28 Dec 2011 -
Gaussian function
In mathematics, a Gaussian function (named after Carl Friedrich Gauss) is a function of the form: This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
published: 21 Jul 2014 -
Lecture on Fourier Transform of Gaussian Function
Fourier transform of Gaussian function is discussed in this lecture. Fourier transform of Gaussian function is another Gaussian function.
published: 16 Feb 2017 -
GATE Exam Gaussian Probability Density Function Lecture by Kishore Kashyap
This video lecture explains how one can solve the integration using the properties of Gaussian probability density function.
published: 07 May 2014 -
MSE101 Data Analysis - L4.2 Integrating the Gaussian between limits - the erf function
MSE101 Mathematics - Data Analysis Lecture 4.1 - Integrating the Gaussian between limits - the erf function Course webpage with notes: http://dyedavid.com/mse101 Dr Sam Cooper, Department of Materials, Imperial College, London, UK
published: 05 Jan 2016 -
Gaussian Blur - Image Processing Algorithm
The gaussian blur algorithm is one of the most widely used blurring algorithms. It is accomplished by applying a convolution kernel to every pixel of an image, and averaging each value of each color channel of each pixel with the corresponding elements of the convolution matrix. You can also weigh the kernel so that each pixel processed takes a fraction of its neighboring pixels instead of the whole value. LIVE DEMO: http://easylearntutorial.com/live-demo/gaussian-blur-image-processing-algorithm.php The algorithm (source: WikiPedia) The Big-O value for the Gaussian blur algorithm is O(Kw * Kh * Iw * Ih), where K[w,h] and I[w,h] are the width and height of the kernel and image, respectively. Programming tutorials by Easy Learn Tutorial - because anyone can learn how to become an expert...
published: 01 Aug 2014 -
Probability density functions | Probability and Statistics | Khan Academy
Probability density functions for continuous random variables. Practice this yourself on Khan Academy right now: https://www.khanacademy.org/e/probability-models?utm_source=YTdescription&utm;_medium=YTdescription&utm;_campaign=YTdescription Watch the next lesson: https://www.khanacademy.org/math/probability/random-variables-topic/expected-value/v/term-life-insurance-and-death-probability?utm_source=YT&utm;_medium=Desc&utm;_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/discrete-probability-distribution?utm_source=YT&utm;_medium=Desc&utm;_campaign=ProbabilityandStatistics Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use ...
published: 16 Feb 2009 -
45-Fourier transform of a Gaussian
The Gaussian function has an important role in PDEs and so we go over direct computation of the this function
published: 07 Apr 2014
Gaussian
- Order: Reorder
- Duration: 4:28
- Updated: 12 Dec 2012
- views: 26506
The most widely used probability distribution function is the Gaussian curve, also known as the normal distribution or the bell curve. In this video I introduce...
The most widely used probability distribution function is the Gaussian curve, also known as the normal distribution or the bell curve. In this video I introduce the Gaussian, and its integral.
https://wn.com/Gaussian
The most widely used probability distribution function is the Gaussian curve, also known as the normal distribution or the bell curve. In this video I introduce the Gaussian, and its integral.
- published: 12 Dec 2012
- views: 26506
Concept of Gaussian distribution for Dummies
- Order: Reorder
- Duration: 7:46
- Updated: 28 Sep 2013
- views: 28463
In probability theory, the normal (or Gaussian) distribution is a very commonly occurring continuous probability distribution—a function that tells the probabil...
In probability theory, the normal (or Gaussian) distribution is a very commonly occurring continuous probability distribution—a function that tells the probability of a number in some context falling between any two real numbers. For example, the distribution of income measured on a log scale is normally distributed in some contexts, as is often the distribution of grades on a test administered to many people. Normal distributions are extremely important in statistics and are often used in the natural and social sciences for real-valued random variables whose distributions are not known.
The normal distribution is immensely useful because of the central limit theorem, which states that, under mild conditions, the mean of many random variables independently drawn from the same distribution is distributed approximately normally, irrespective of the form of the original distribution: physical quantities that are expected to be the sum of many independent processes (such as measurement errors) often have a distribution very close to the normal. Moreover, many results and methods (such as propagation of uncertainty and least squares parameter fitting) can be derived analytically in explicit form when the relevant variables are normally distributed.
The Gaussian distribution is sometimes informally called the bell curve. However, many other distributions are bell-shaped (such as Cauchy's, Student's, and logistic). The terms Gaussian function and Gaussian bell curve are also ambiguous because they sometimes refer to multiples of the normal distribution that cannot be directly interpreted in terms of probabilities. http://www.garguniversity.com
https://wn.com/Concept_Of_Gaussian_Distribution_For_Dummies
In probability theory, the normal (or Gaussian) distribution is a very commonly occurring continuous probability distribution—a function that tells the probability of a number in some context falling between any two real numbers. For example, the distribution of income measured on a log scale is normally distributed in some contexts, as is often the distribution of grades on a test administered to many people. Normal distributions are extremely important in statistics and are often used in the natural and social sciences for real-valued random variables whose distributions are not known.
The normal distribution is immensely useful because of the central limit theorem, which states that, under mild conditions, the mean of many random variables independently drawn from the same distribution is distributed approximately normally, irrespective of the form of the original distribution: physical quantities that are expected to be the sum of many independent processes (such as measurement errors) often have a distribution very close to the normal. Moreover, many results and methods (such as propagation of uncertainty and least squares parameter fitting) can be derived analytically in explicit form when the relevant variables are normally distributed.
The Gaussian distribution is sometimes informally called the bell curve. However, many other distributions are bell-shaped (such as Cauchy's, Student's, and logistic). The terms Gaussian function and Gaussian bell curve are also ambiguous because they sometimes refer to multiples of the normal distribution that cannot be directly interpreted in terms of probabilities. http://www.garguniversity.com
- published: 28 Sep 2013
- views: 28463
Evaluation of the Gaussian Integral exp(-x^2) - Cool Math Trick
- Order: Reorder
- Duration: 5:22
- Updated: 28 Dec 2011
- views: 66240
A clever way to evaluate the Gaussian Integral analytically. A great math trick to show your friends.
A clever way to evaluate the Gaussian Integral analytically. A great math trick to show your friends.
https://wn.com/Evaluation_Of_The_Gaussian_Integral_Exp(_X^2)_Cool_Math_Trick
A clever way to evaluate the Gaussian Integral analytically. A great math trick to show your friends.
- published: 28 Dec 2011
- views: 66240
Gaussian function
- Order: Reorder
- Duration: 12:50
- Updated: 21 Jul 2014
- views: 986
In mathematics, a Gaussian function (named after Carl Friedrich Gauss) is a function of the form:
This video is targeted to blind users.
Attribution:
Article...
In mathematics, a Gaussian function (named after Carl Friedrich Gauss) is a function of the form:
This video is targeted to blind users.
Attribution:
Article text available under CC-BY-SA
Creative Commons image source in video
https://wn.com/Gaussian_Function
In mathematics, a Gaussian function (named after Carl Friedrich Gauss) is a function of the form:
This video is targeted to blind users.
Attribution:
Article text available under CC-BY-SA
Creative Commons image source in video
- published: 21 Jul 2014
- views: 986
Lecture on Fourier Transform of Gaussian Function
- Order: Reorder
- Duration: 6:59
- Updated: 16 Feb 2017
- views: 678
Fourier transform of Gaussian function is discussed in this lecture. Fourier transform of Gaussian function is another Gaussian function.
Fourier transform of Gaussian function is discussed in this lecture. Fourier transform of Gaussian function is another Gaussian function.
https://wn.com/Lecture_On_Fourier_Transform_Of_Gaussian_Function
Fourier transform of Gaussian function is discussed in this lecture. Fourier transform of Gaussian function is another Gaussian function.
- published: 16 Feb 2017
- views: 678
GATE Exam Gaussian Probability Density Function Lecture by Kishore Kashyap
- Order: Reorder
- Duration: 10:03
- Updated: 07 May 2014
- views: 3556
This video lecture explains how one can solve the integration using the properties of Gaussian probability density function.
This video lecture explains how one can solve the integration using the properties of Gaussian probability density function.
https://wn.com/Gate_Exam_Gaussian_Probability_Density_Function_Lecture_By_Kishore_Kashyap
This video lecture explains how one can solve the integration using the properties of Gaussian probability density function.
- published: 07 May 2014
- views: 3556
MSE101 Data Analysis - L4.2 Integrating the Gaussian between limits - the erf function
- Order: Reorder
- Duration: 19:19
- Updated: 05 Jan 2016
- views: 2225
MSE101 Mathematics - Data Analysis
Lecture 4.1 - Integrating the Gaussian between limits - the erf function
Course webpage with notes: http://dyedavid.com/mse1...
MSE101 Mathematics - Data Analysis
Lecture 4.1 - Integrating the Gaussian between limits - the erf function
Course webpage with notes: http://dyedavid.com/mse101
Dr Sam Cooper, Department of Materials, Imperial College, London, UK
https://wn.com/Mse101_Data_Analysis_L4.2_Integrating_The_Gaussian_Between_Limits_The_Erf_Function
MSE101 Mathematics - Data Analysis
Lecture 4.1 - Integrating the Gaussian between limits - the erf function
Course webpage with notes: http://dyedavid.com/mse101
Dr Sam Cooper, Department of Materials, Imperial College, London, UK
- published: 05 Jan 2016
- views: 2225
Gaussian Blur - Image Processing Algorithm
- Order: Reorder
- Duration: 4:28
- Updated: 01 Aug 2014
- views: 24089
The gaussian blur algorithm is one of the most widely used blurring algorithms. It is accomplished by applying a convolution kernel to every pixel of an image, ...
The gaussian blur algorithm is one of the most widely used blurring algorithms. It is accomplished by applying a convolution kernel to every pixel of an image, and averaging each value of each color channel of each pixel with the corresponding elements of the convolution matrix. You can also weigh the kernel so that each pixel processed takes a fraction of its neighboring pixels instead of the whole value.
LIVE DEMO: http://easylearntutorial.com/live-demo/gaussian-blur-image-processing-algorithm.php
The algorithm (source: WikiPedia)
The Big-O value for the Gaussian blur algorithm is O(Kw * Kh * Iw * Ih), where K[w,h] and I[w,h] are the width and height of the kernel and image, respectively.
Programming tutorials by Easy Learn Tutorial - because anyone can learn how to become an expert software and web developer!
Copyright (c) 2013 Rodrigo Silveira - http://www.easylearntutorial.com
https://wn.com/Gaussian_Blur_Image_Processing_Algorithm
The gaussian blur algorithm is one of the most widely used blurring algorithms. It is accomplished by applying a convolution kernel to every pixel of an image, and averaging each value of each color channel of each pixel with the corresponding elements of the convolution matrix. You can also weigh the kernel so that each pixel processed takes a fraction of its neighboring pixels instead of the whole value.
LIVE DEMO: http://easylearntutorial.com/live-demo/gaussian-blur-image-processing-algorithm.php
The algorithm (source: WikiPedia)
The Big-O value for the Gaussian blur algorithm is O(Kw * Kh * Iw * Ih), where K[w,h] and I[w,h] are the width and height of the kernel and image, respectively.
Programming tutorials by Easy Learn Tutorial - because anyone can learn how to become an expert software and web developer!
Copyright (c) 2013 Rodrigo Silveira - http://www.easylearntutorial.com
- published: 01 Aug 2014
- views: 24089
Probability density functions | Probability and Statistics | Khan Academy
- Order: Reorder
- Duration: 10:02
- Updated: 16 Feb 2009
- views: 973128
Probability density functions for continuous random variables.
Practice this yourself on Khan Academy right now: https://www.khanacademy.org/e/probability-mode...
Probability density functions for continuous random variables.
Practice this yourself on Khan Academy right now: https://www.khanacademy.org/e/probability-models?utm_source=YTdescription&utm;_medium=YTdescription&utm;_campaign=YTdescription
Watch the next lesson: https://www.khanacademy.org/math/probability/random-variables-topic/expected-value/v/term-life-insurance-and-death-probability?utm_source=YT&utm;_medium=Desc&utm;_campaign=ProbabilityandStatistics
Missed the previous lesson?
https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/discrete-probability-distribution?utm_source=YT&utm;_medium=Desc&utm;_campaign=ProbabilityandStatistics
Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it!
About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
Subscribe to KhanAcademy’s Probability and Statistics channel:
https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1
Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
https://wn.com/Probability_Density_Functions_|_Probability_And_Statistics_|_Khan_Academy
Probability density functions for continuous random variables.
Practice this yourself on Khan Academy right now: https://www.khanacademy.org/e/probability-models?utm_source=YTdescription&utm;_medium=YTdescription&utm;_campaign=YTdescription
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- published: 16 Feb 2009
- views: 973128
45-Fourier transform of a Gaussian
- Order: Reorder
- Duration: 19:59
- Updated: 07 Apr 2014
- views: 9254
The Gaussian function has an important role in PDEs and so we go over direct computation of the this function
The Gaussian function has an important role in PDEs and so we go over direct computation of the this function
https://wn.com/45_Fourier_Transform_Of_A_Gaussian
The Gaussian function has an important role in PDEs and so we go over direct computation of the this function
- published: 07 Apr 2014
- views: 9254
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4:28
Gaussian
The most widely used probability distribution function is the Gaussian curve, also known a...
published: 12 Dec 2012
Gaussian
Gaussian
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- published: 12 Dec 2012
- views: 26506
7:46
Concept of Gaussian distribution for Dummies
In probability theory, the normal (or Gaussian) distribution is a very commonly occurring ...
published: 28 Sep 2013
Concept of Gaussian distribution for Dummies
Concept of Gaussian distribution for Dummies
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- published: 28 Sep 2013
- views: 28463
5:22
Evaluation of the Gaussian Integral exp(-x^2) - Cool Math Trick
A clever way to evaluate the Gaussian Integral analytically. A great math trick to show yo...
published: 28 Dec 2011
Evaluation of the Gaussian Integral exp(-x^2) - Cool Math Trick
Evaluation of the Gaussian Integral exp(-x^2) - Cool Math Trick
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- published: 28 Dec 2011
- views: 66240
12:50
Gaussian function
In mathematics, a Gaussian function (named after Carl Friedrich Gauss) is a function of th...
published: 21 Jul 2014
Gaussian function
Gaussian function
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- published: 21 Jul 2014
- views: 986
6:59
Lecture on Fourier Transform of Gaussian Function
Fourier transform of Gaussian function is discussed in this lecture. Fourier transform of ...
published: 16 Feb 2017
Lecture on Fourier Transform of Gaussian Function
Lecture on Fourier Transform of Gaussian Function
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- published: 16 Feb 2017
- views: 678
10:03
GATE Exam Gaussian Probability Density Function Lecture by Kishore Kashyap
This video lecture explains how one can solve the integration using the properties of Gaus...
published: 07 May 2014
GATE Exam Gaussian Probability Density Function Lecture by Kishore Kashyap
GATE Exam Gaussian Probability Density Function Lecture by Kishore Kashyap
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- published: 07 May 2014
- views: 3556
19:19
MSE101 Data Analysis - L4.2 Integrating the Gaussian between limits - the erf function
MSE101 Mathematics - Data Analysis
Lecture 4.1 - Integrating the Gaussian between limits -...
published: 05 Jan 2016
MSE101 Data Analysis - L4.2 Integrating the Gaussian between limits - the erf function
MSE101 Data Analysis - L4.2 Integrating the Gaussian between limits - the erf function
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- published: 05 Jan 2016
- views: 2225
4:28
Gaussian Blur - Image Processing Algorithm
The gaussian blur algorithm is one of the most widely used blurring algorithms. It is acco...
published: 01 Aug 2014
Gaussian Blur - Image Processing Algorithm
Gaussian Blur - Image Processing Algorithm
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- published: 01 Aug 2014
- views: 24089
10:02
Probability density functions | Probability and Statistics | Khan Academy
Probability density functions for continuous random variables.
Practice this yourself on ...
published: 16 Feb 2009
Probability density functions | Probability and Statistics | Khan Academy
Probability density functions | Probability and Statistics | Khan Academy
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- published: 16 Feb 2009
- views: 973128
19:59
45-Fourier transform of a Gaussian
The Gaussian function has an important role in PDEs and so we go over direct computation o...
published: 07 Apr 2014
45-Fourier transform of a Gaussian
45-Fourier transform of a Gaussian
- Report rights infringement
- published: 07 Apr 2014
- views: 9254
Gaussian...
Concept of Gaussian distribution for Dummies...
Evaluation of the Gaussian Integral exp(-x^2) - Co...
Gaussian function...
Lecture on Fourier Transform of Gaussian Function...
GATE Exam Gaussian Probability Density Function Le...
MSE101 Data Analysis - L4.2 Integrating the Gaussi...
Gaussian Blur - Image Processing Algorithm...
Probability density functions | Probability and St...
45-Fourier transform of a Gaussian...
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Report: DC Shooter Identified As James T. Hodgkinson Of Bellville, Ill., Officers In 'Good Condition'
Edit WorldNews.com 14 Jun 2017
Law enforcement officials have identified the gunman involved in the Republican Congressional baseball practice this morning, The Washington Post reported Wednesday. The gunman was identified as James T. Hodgkinson of Belleville, Ill. Hodgkinson, 66, owns a home inspection business, the report said. His home inspection license expired in November 2016 and was not renewed, state records show ... Meanwhile, U.S....
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[UPDATE]: 5 Wounded As Gunman Opens Fire At Practicing GOP Lawmakers
Edit WorldNews.com 14 Jun 2017
Multiple media reports Tuesday said House Majority Whip Steve Scalise (R-La.) was among five people shot at a congressional baseball practice Wednesday morning by a gunman who appeared to have targeted members of Congress. Police in the Washington DC suburb of Alexandria, said they were investigating a "multiple shooting" and had a suspect was in custody, The Los Angeles Times reported ... Around 9.45 a.m ... Rifle. 50+ shots fired....
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BREAKING: Top GOP Congressman Hit By Gunfire At Morning Baseball Practice
Edit WorldNews.com 14 Jun 2017
US House of Representatives Majority Whip Steve Scalise and several aides were shot during baseball practice in Virginia, multiple media reports reported Wednesday. Fox News reported Scalise and the aides were hit by gunfire while practicing at a baseball field in the Washington DC suburb of Alexandria.Police tweeted they were “investigating multiple shooting 400 block E Monroe St ... Lee said the shooter had used a long gun and was dead....
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Tillerson, Palestinian Authority Publicly At Odds Over Continuation Of 'Martyr' Payments
Edit WorldNews.com 14 Jun 2017
Testifying Tuesday before a Senate panel, U.S. Secretary of State Rex Tillerson said he had received assurances from Palestinian President Mahmoud Abbas the Palestinian Authority would end the practice of paying a monthly stipend to families of suicide bombers and other attackers, Reuters reported Wednesday ... Surveys show he is highly unpopular and his unpopularity would only likely worsen if support were stopped....
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71-Year-Old United Passenger Sues Airline For 2015 Incident In Which He Was Pushed
Edit WorldNews.com 14 Jun 2017
The parade of litigants lining up against United Airlines continued Wednesday as a video showing a 71-year-old passenger being pushed to the floor by an employee of the Houston-based airline and lawsuit stemming from the incident have surfaced, The Washington Post reported ... Tigner remains there motionless on his back, his legs and arms spread out ... The violinist is suing claiming she injured her hand in the incident....
Super Flat-top Athermal AWG DWDM MUX/DMX for 400G Data Transport
Edit Market Watch 06 Jun 2017
For 100G data transport whether it is serviced by 10 by 10G or 4 by 25G laser optics, Terraphotonics's standard or regular AAWGs can provide the data network providers with necessary DWDM optical muxing and demuxing function, but for 400G data transport, the regular flat-top is not good enough, requiring more flattening of the filtering band," says Dr....
After the surprise of 2016, here’s how pollsters can do better in predicting election results
Edit The Washington Post 31 May 2017
By now, it is widely agreed that bringing more — and more diverse — people into the policymaking process can have major payoffs in opening governance. The underlying argument is straightforward ... Yes ... The experimenter can choose among some of the existing generic models, such as the “Gaussian model.” However, the best results can be obtained by relying on field expertise and tailoring the model to the particular problem at hand ... The U.S ... ....
FMI Grow Drug Designing Tools Market Size Chain and Forecast 2017-2027
Edit Community news 30 May 2017
Drug designing tools are software and databases that are used at an early stage of modern drug discovery process ... Drug Designing Tools Market ... Segmentation ... Some of the major players in the drug designing tools market are Schrödinger LLC, Gaussian Inc., Accelrys, BioSolveIT GmbH, COSMOlogic GmbH & Co., Certara, L.P, PerkinElmer Inc., Simulations Plus, ChemAxon, OpenEye Scientific Software Inc., in silico toxicology gmbh among others ... ....
Exclusive: Behind Fluent Design, Microsoft’s Vision For The Future Of Interfaces
Edit Fast Company 11 May 2017
Bojana Ostojic was working on Microsoft’s experimental mixed reality headset, HoloLens, when she realized that she was seeing the future of design at the company. advertisement ... [Image ... Again. Holographs ... [Screenshot ... creatives ... [Screenshot ... Microsoft]Acrylic, the first standardized design material the company is publishing under the system, is a glassy layering of materials that are rendering as a thin pane of gaussian-blurred glass....
Sony FE 100mm F2.8 STF Gallery and 1st Impressions
Edit Digital Photography Review 09 May 2017
This lens approaches a very Gaussian blur wide open, rendering out-of-focus highlights more of a blur than defined circles ... By the time you stop down to get any circular, defined character to your highlights (as opposed to almost too buttery-smooth Gaussian bokeh), you suddenly find yourself at T8.0 or worse ... the former, almost too Gaussian, blur wide open leads to a character not immediately appreciated by all....
CIE colour sensor chip is calibrated
Edit Eweekly 09 May 2017
It is part of a family of similar chips – scroll to the end for the other two. Integrated silicon Gaussian interference filters are used, providing direct XYZ coordinates consistent with the CIE 1931 2° standard observer, in the case of the AS7261 ... A Near-IR channel and LED drivers with programmable currents increase application flexibility, including support for electronic shutter applications ... A 16-bit ADC measures them ... ....
Paradox Resolved: Why Risk Decreases Expected Log Return But Not Expected Wealth
Edit Seeking Alpha 04 May 2017
change in log price per unit time) follow a Gaussian distribution, and if its net returns (i.e ... But what is the expected price (not log price) at time t? It isn't correct to say exp(t * (m-s2 /2)), because the expected value of the exponential function of a normal variable is not equal to the exponential function of the expected value of that normal variable, or E[exp(x)] !=exp(E[x]) ... I hate utility functions)....
Why the next evolution of AI will be a seamless methodology
Edit Venture Beat 02 May 2017
Many more schools of thought exist, from fuzzy systems to evolutionary computation, chaos theory, Gaussian processes, computational creativity, and more — all with their own supporters and detractors ... Unless your goal is to build a company that utilizes fuzzy systems or Gaussian processes, there’s little way your specific website or application can create a viable input-output contribution to the discipline....
Timing The Market Versus Time In The Market
Edit Yahoo Daily News 02 May 2017
Equity returns come in clusters. Indeed, these clusters, both on the upside and the downside, are hard to foretell. Most people use a combination of fundamental and technical analyses, and mostly intuition, to figure this out. However, we cannot wish away the vagaries of stock returns ... This happens because returns from stocks are not distributed in a Gaussian or bell curve fashion as is assumed in almost all finance theory ... ....
In A Moment Of Clarity While Brushing His Teeth, A Retiree Solves A Decades-Old Math Problem
Edit Good 07 Apr 2017
The Gaussian Correlation Inequality is a very easy concept to imagine and understand but has been notoriously hard for mathematicians to prove....
A retiree solved a math problem that people have been working on for decades — and no one noticed
Edit Business Insider 04 Apr 2017
It's a problem that the world's most experienced mathematicians have spent decades trying to solve, and the solution had eluded them at every turn — the infamous Gaussian correlation inequality (GCI) ... You throw a bunch of darts at the target, and you'll soon discover that a bell curve — or 'Gaussian distribution' — of positions has formed around the centre, with vast majority of the darts sitting in the overlap....
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