Abstract
Use of binary moving-window techniques for detection of randomly occurring signals was investigated. Statistical decision methods appear to offer a means for implementing a reliable signal detection and processing system in a hostile, adverse, or unstable environment. The statistics of the moving-window detector can be obtained by direct computation, without resorting to Monte Carlo simulation; and are easily programmed for computer calculation.

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