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Accession Number ADA564633
Title Quantization for Distributed Testing of Independence.
Publication Date Jul 2010
Media Count 6p
Personal Author B. Chen J. Matyjas M. Chen W. Liu
Abstract We consider the problem of distributed test of statistical independence under communication constraints. While independence test is frequently encountered in various applications, distributed independence test is particularly useful for events detection in sensor networks: data correlation often occurs among sensor observations in the presence of a target. Focusing on the Gaussian case because of its tractability, we study in this paper the characteristics of optimal scalar quantizers for distributed test of independence where the optimality is in the sense of optimizing the error exponent. We also discuss the optimal quantizer properties for the finite sample regime, i.e., that of directly minimizing the error probability.
Keywords Communications networks
Distributed signal processing
Probability
Quantization
Sensor networks
Statistical functions
Symposia
Test of independence

 
Source Agency Non Paid ADAS
NTIS Subject Category 72F - Statistical Analysis
Corporate Author Syracuse Univ., NY.
Document Type Technical report
Title Note Conference paper.
NTIS Issue Number 1303
Contract Number N/A

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