1972
DOI: 10.1109/tsmc.1972.5408555
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Adaptive Signal Detection with Finite Memory

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Cited by 9 publications
(3 citation statements)
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“…The decision rule which is obtained as a result of the minimization of the Bayes' risk is given by (9a) A1-A2+A3 §°I Ho1 ,H1o (6) VARSHNEY/HADDAD: A ONE-BIT MEMORY RECEIVER FOR CHANNELS WITH MEMORY a decision-feedback structure in the sense that the kth-bit decision depends only on the two-level quantized value of the previous signaling interval statistic. Namely, the kthbit decision is assumed to be a function of the decision on the previous bit and not of the variables XO1, X_1-In the suboptimal scheme, two different likelihood ratios Xk and X4 are employed for the decision on the previous bit.…”
Section: Ill the Optimal Solutionmentioning
confidence: 99%
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“…The decision rule which is obtained as a result of the minimization of the Bayes' risk is given by (9a) A1-A2+A3 §°I Ho1 ,H1o (6) VARSHNEY/HADDAD: A ONE-BIT MEMORY RECEIVER FOR CHANNELS WITH MEMORY a decision-feedback structure in the sense that the kth-bit decision depends only on the two-level quantized value of the previous signaling interval statistic. Namely, the kthbit decision is assumed to be a function of the decision on the previous bit and not of the variables XO1, X_1-In the suboptimal scheme, two different likelihood ratios Xk and X4 are employed for the decision on the previous bit.…”
Section: Ill the Optimal Solutionmentioning
confidence: 99%
“…Signal detection schemes with memory are quite common [3][4][5][6]. The receiver problem in such cases can be formulated as a hypothesis testing problem.…”
Section: Introductionmentioning
confidence: 99%
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