Detection and estimation theory is a branch of statistical signal processing that focuses on the detection of signals and the estimation of parameters related to those signals in the presence of noise and uncertainty. This theory is widely used in various fields, including telecommunications, radar, sonar, and biomedical engineering, among others.
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