Using normpdf() and a for Loop to Generate Multiple Gaussian Random Variable Arrays

Question

James Hayek 2015-8-9

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https://ww2.mathworks.cn/matlabcentral/answers/232999-using-normpdf-and-a-for-loop-to-generate-multiple-gaussian-random-variable-arrays

回答： Bjorn Gustavsson 2015-8-10

I would like to know how I can implement a for loop to generate multiple random values for a Gaussian distribution and then plot to a histogram. My existing code is as follows:

%%Clearing and closing all other open programs withing MatLab
close all
clc
%%Creating a matrix for the signals given
equalProbSignal = [1 0 0 0 1 0 1 1 0 0 0 1 1 1 1 0 1 0 0 1];
unEqualProbSignal = [1 1 0 0 1 1 1 1 0 1 1 0 1 1 1 0 1 1 0 1];
%%Generating a Real Gaussian Noise
X = [0.1:1:0.1];
gaussianNoise = normpdf(X);
%%Adding noise to the signal
noiseySignalEqual = equalProbSignal+gaussianNoise;
noiseySignalUnEqual = unEqualProbSignal+gaussianNoise;
%%Must repeat process for Laplacian
laplaceSignal=laprnd(1,20);
noiseySignalEqual02 = equalProbSignal+laplaceSignal;
noiseySignalUnEqual02 = unEqualProbSignal+laplaceSignal;
%%Comparing the noisey signal to the transmited one for Gaussian
gaussianNoiseEq = noiseySignalEqual;
gaussianNoiseEq > 0.5; %Finding values less than or above 0.5
result=noiseySignalEqual==equalProbSignal; %Comparing the result
figure(1);
stem(result);
GaussianNoiseUnEq = noiseySignalUnEqual;
GaussianNoiseUnEq > 0.5; %Finding values less than or above 0.5
result02=noiseySignalUnEqual==unEqualProbSignal; %Comparing the result
figure(2);
stem(result02);
%%This block will contain the same as above yet with Laplacian noise.

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James Hayek 2015-8-10

I have to say, I was hoping this community would of been more helpful. The lack of support doesn't really make MatLab an easy tool to learn/use. My apologies in advance for being blunt.

Arun Badigannavar 2015-8-10