MULTICHANNEL DETECTION OF KNOWN SIGNALS IN NOISE OF UNCERTAIN LEVEL.
Publication
, Journal Article
Earp, SL; Nolte, LW
December 1, 1984
This work is an extension of the work of Spooner to a multichannel model. The distribution of a Bayes likelihood ratio is computed, and the resulting detection performance analyzed. The problem is to detect one of two known multichannel signals in noise of uncertain level. It is assumed that there are T sampled inputs from each of S sensors.
Duke Scholars
Publication Date
December 1, 1984
Start / End Page
312 / 314
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Earp, S. L., & Nolte, L. W. (1984). MULTICHANNEL DETECTION OF KNOWN SIGNALS IN NOISE OF UNCERTAIN LEVEL., 312–314.
Earp, S. L., and L. W. Nolte. “MULTICHANNEL DETECTION OF KNOWN SIGNALS IN NOISE OF UNCERTAIN LEVEL.,” December 1, 1984, 312–14.
Earp SL, Nolte LW. MULTICHANNEL DETECTION OF KNOWN SIGNALS IN NOISE OF UNCERTAIN LEVEL. 1984 Dec 1;312–4.
Earp, S. L., and L. W. Nolte. MULTICHANNEL DETECTION OF KNOWN SIGNALS IN NOISE OF UNCERTAIN LEVEL. Dec. 1984, pp. 312–14.
Earp SL, Nolte LW. MULTICHANNEL DETECTION OF KNOWN SIGNALS IN NOISE OF UNCERTAIN LEVEL. 1984 Dec 1;312–314.
Publication Date
December 1, 1984
Start / End Page
312 / 314