Title :
Maximum likelihood detection and estimation of Bernoulli - Gaussian processes
Author :
Kormylo, John J. ; Mendel, Jerry M.
fDate :
5/1/1982 12:00:00 AM
Abstract :
A new detection algorithm, single most likely replacement (SMLR), for detecting randomly located impulsive events which have Gaussian-distributed amplitudes is presented. This detector is designed for the case of severely overlapping wavelets. Estimation of the probability of events also is consider. Experimental results and comparisons with other detectors, using synthetic data, are provided.
Keywords :
Gaussian processes; Impulse measurements; Maximum-likelihood detection; maximum-likelihood (ML) estimation; Amplitude estimation; Convolution; Detectors; Event detection; Gaussian noise; Gaussian processes; Maximum likelihood detection; Maximum likelihood estimation; Probability; Radar detection;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1982.1056496
