Memoryless Quantizer-Detectors for Constant Signals in m-Dependent Noise

H. Vincent Poor; John B. Thomas

doi:10.1109/TIT.1980.1056223

Memoryless Quantizer-Detectors for Constant Signals in m-Dependent Noise

H. Vincent Poor, John B. Thomas

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

The performance and design of data quantizers for use in memoryless discrete-time detection systems operating with dependent samples is considered. This problem is approached on a large-sample-size small-signal basis, and m-dependence is used to model the dependence structure among data samples. By considering the particular situation of detecting known constant signals in additive noise, previous results for memoryless detector analysis are applied to derive expressions for the evaluation of quantizer-detector performance for this situation. Design criteria are established for the optimum selection of quantizer parameters, and these are seen to be generalizations of earlier designs for the corresponding independent sampling case.

Original language	English (US)
Pages (from-to)	423-432
Number of pages	10
Journal	IEEE Transactions on Information Theory
Volume	26
Issue number	4
DOIs	https://doi.org/10.1109/TIT.1980.1056223
State	Published - Jul 1980
Externally published	Yes

All Science Journal Classification (ASJC) codes

Information Systems
Computer Science Applications
Library and Information Sciences

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10.1109/TIT.1980.1056223

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abstract = "The performance and design of data quantizers for use in memoryless discrete-time detection systems operating with dependent samples is considered. This problem is approached on a large-sample-size small-signal basis, and m-dependence is used to model the dependence structure among data samples. By considering the particular situation of detecting known constant signals in additive noise, previous results for memoryless detector analysis are applied to derive expressions for the evaluation of quantizer-detector performance for this situation. Design criteria are established for the optimum selection of quantizer parameters, and these are seen to be generalizations of earlier designs for the corresponding independent sampling case.",

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AB - The performance and design of data quantizers for use in memoryless discrete-time detection systems operating with dependent samples is considered. This problem is approached on a large-sample-size small-signal basis, and m-dependence is used to model the dependence structure among data samples. By considering the particular situation of detecting known constant signals in additive noise, previous results for memoryless detector analysis are applied to derive expressions for the evaluation of quantizer-detector performance for this situation. Design criteria are established for the optimum selection of quantizer parameters, and these are seen to be generalizations of earlier designs for the corresponding independent sampling case.

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Memoryless Quantizer-Detectors for Constant Signals in m-Dependent Noise

Abstract

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