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Bookmark or Share- power spectral density - Signal Processing Stack ExchangeBut you say " One should not, however, infer that the random variables in the WGN process are themselves Gaussian random variables". I did not fully understand this. If the random variables aren't Gaussian (and this seems reasonable to me since they have infinite variance), why is the process named Gaussian? $\endgroup$ –
- generating white gaussian noise in matlab using two different functionswgn() is specifically meant to create a white noise with a predefined power levels while randn() is meant to generate normally distributed random numbers WITHOUT specifying the power. You will have to scale the values generated from randn() to meet the desired noise power level.
- noise - Contradiction when simulating WGN - Signal Processing Stack ...$\begingroup$ Good answer except I question the 2nd sentence: my thinking was that we can indeed simulate SAMPLES of a mythical continuous time WGN process and it would be mathematically accurate (without the requirement that it be bandlimited). What would end up being a CT WGN with PSD =0 would all alias to a DT WGN with finite non-zero PSD.
- What is DC level in white gaussian noise? - Signal Processing Stack ...DC level in signal processing refers to the average or the mean value of a signal. So a zero-mean signal will have an average value of zero over its domain of definition.
- What can we deduce about variance when we are given the noise spectral ...Since the input process has zero mean, so does the output process have zero mean, that is, all the random variables constituting the process have zero mean. For the case of WGN, the filter output is a strictly stationary Gaussian process, meaning that all the random variables are Gaussian random variables. As a special case of all this, if the ...
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