Abstract
When dealing with random processes, reduced spectrum estimate variance becomes an important property that augments the list of desirable time-frequency (t-f) distribution properties. In this correspondence, we derive the t-f kernel that satisfies the t-f constraints and provides the minimum variance for the power spectrum estimate for Gaussian white noise processes. >
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