Is it possible for the successive outputs of a stationary discrete memoryless channel to be iid if the successive inputs are non-stationary and very strongly correlated across times for instance when the successive inputs keep alternating between two symbols? Why?
This work considers the problem of low-latency detection of unknown signals that appear intermittently in noise having unknown and perhaps non-stationary statistics. We show how to realize a detector having a guaranteed probability of false alarm with best in-class probability of detection and lowest complexity. The detector adaptation is based on a state-machine driven feedback path that selectively extracts the noise statistics required for setting a test threshold. Performance and complexity comparisons are made between the new detector, existing detectors in its class, and the ideal (clairvoyant) detector.
Is it possible for the successive outputs of a stationary discrete memoryless channel to be iid if the successive inputs are non-stationary and very strongly correlated across times for instance when the successive inputs keep alternating between two symbols.
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