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Neural Networks for Sequential Discrimination of Radar Targets
In this paper, perceptron neural networks are applied to the problem of discriminating between two classes of radar returns. The perceptron neural networks are used as nonlinearities in two threshold sequential discriminators ...
Analysis of Compressive Receivers for the Optimal Interception of Frequency-Hopped Waveforms
This paper establishes that the compressive receiver is a practical interceptor of high performance. Given a signal of a particular duration, a compressive receiver can estimate simultaneously all frequency components ...
Robust Sequential Tests for Memoryless Discrimination from Dependent Observations
The problem of robust sequential discrimination from two dependent observation sequences with uncertain statistics is addressed. As in Part I () of this study, which treated asymptotically optimal sequential discrimination ...