Signal Detection in Discrete Time
In Chapter II we discussed several basic optimality criteria and design methods for binary hypothesis-testing problems. In this chapter we apply these and related methods to derive optimum procedures for detecting signals embedded in noise. To avoid analytical complications, we consider exclusively the case of discrete-time detection, leaving the continuous-time case for Chapter VI. The discrete-time case is of considerable practical interest due to the trend of increased digitization of signal processing functions.
KeywordsError Probability Optimum Detector Coherent Signal Sequential Probability Ratio Test Gaussian Random Vector
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