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

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.

[James Hayek]

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]

James, Please go to help and look for 'FOR'loop, To create random signal,again go to help and look for 'random' you will get the usefull information

Answer 1

[Bjorn Gustavsson]

helpwin randn

HTH,

Coulda been more verbose, but here it's monday morning 0800