Normal distribution Archives - GaussianWaves https://www.gaussianwaves.com/tag/normal-distribution/ Signal Processing for Communication Systems Wed, 27 Oct 2021 05:57:32 +0000 en-US hourly 1 https://wordpress.org/?v=6.7.1 https://i0.wp.com/www.gaussianwaves.com/gaussianwaves/wp-content/uploads/2016/02/cropped-gaussianwaves_logo_120_120.png?fit=32%2C32&ssl=1 Normal distribution Archives - GaussianWaves https://www.gaussianwaves.com/tag/normal-distribution/ 32 32 163393712 Matplotlib histogram and estimated PDF in Python https://www.gaussianwaves.com/2020/06/using-matplotlib-histogram-in-python/ https://www.gaussianwaves.com/2020/06/using-matplotlib-histogram-in-python/#respond Fri, 05 Jun 2020 08:28:31 +0000 https://www.gaussianwaves.com/?p=23331 Key focus: Shown with examples: let’s estimate and plot the probability density function of a random variable using Python’s Matplotlib histogram function. Generation of random variables with required probability distribution characteristic is of paramount importance in simulating a communication system. Let’s see how we can generate a simple random variable, estimate and plot the probability ... Read more

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Plot histogram and estimated PDF in Matlab https://www.gaussianwaves.com/2016/10/how-to-use-histogram-function-in-matlab-to-plot-the-estimated-pdf-curve/ https://www.gaussianwaves.com/2016/10/how-to-use-histogram-function-in-matlab-to-plot-the-estimated-pdf-curve/#respond Thu, 06 Oct 2016 07:40:37 +0000 http://www.gaussianwaves.com/?p=12831 Key focus: With examples, let’s estimate and plot the probability density function of a random variable using Matlab histogram function. Generation of random variables with required probability distribution characteristic is of paramount importance in simulating a communication system. Let’s see how we can generate a simple random variable, estimate and plot the probability density function ... Read more

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Random Variables, CDF and PDF https://www.gaussianwaves.com/2008/04/probability/ https://www.gaussianwaves.com/2008/04/probability/#comments Tue, 22 Apr 2008 09:32:00 +0000 http://www.gaussianwaves.com/2008/04/probability/ Random Variable: In a “coin-flipping” experiment, the outcome is not known prior to the experiment, that is we cannot predict it with certainty (non-deterministic/stochastic). But we know the all possible outcomes – Head or Tail. Assign real numbers to the all possible events (this is called “sample space”), say “0” to “Head” and “1” to ... Read more

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