On the Optimality of Data Processors for Signal Detection Over a Class of Contaminated Noises.
Interim rept. 1 Oct 80-30 Sep 85,
TEXAS UNIV AT AUSTIN
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We consider the effect induced on the data processor of a signal detection system when the underlying noise distribution functions are varied about their nominal values. We first consider the detection of a time varying deterministic signal in additive noise, and then extend our results to a more general situation in which the signal possesses a random amplitude. Our results characterize a class of contaminants of an arbitrary nominal distribution over which the data processor can be designed using the nominal distribution, and it is seen, for example, that such a class can contain distribution functions which can differ greatly from the nominal distribution. Keywords include signal detection, likelihood ratio, and optimal detection.
- Statistics and Probability
- Computer Hardware