A comparative analysis of estimates of the unknown nonrandom parameter of signal in the linear space and K-space
It has been shown that signal processing against the background of interferences (noises) in the K-space of signals makes it possible to achieve higher characteristics of the estimation of unknown nonrandom parameter of signal than those in the linear space. Quality index of the point estimation based on metric properties of the estimation space has been proposed.
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