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I want to know the difference between the two gaussian noises generated below Follow up with intuition related to zero psd for wgn with finite variance mbaz and rbj have rightfully questioned my reasoning of a zero power spectral density in the comments, suggesting that the variance would increase for a constant power spectral density as the bandwidth increases. Which one is white and how can i make the other one white

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Im working on a pulsed doppler radar what is the way to calculate the snr (with wgn) Even the wikipedia page on wgn says nothing about it. What will be the lowest snr for detectability

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Upvoting indicates when questions and answers are useful What's reputation and how do i get it Instead, you can save this post to reference later. It could seem an easy question and without any doubts it is but i'm trying to calculate the variance of white gaussian noise without any result

The power spectral density (psd) of additive white Use y=wgn (m,n,p) command in matlab It generates a mxn matrix of white gaussian noise P specifies the power of y in decibels relative to a watt.

I am relatively new to signal processing techniques and matlab and need a bunch of test data in the form of white noise, as defined on the wikipedia page, with constant, flat power spectrum

Could the following be the answer Am studying unbiased estimators and keep seeing this term dc level What is the expansion of dc and what is a dc level