Distributed Binary Detection With Lossy Data Compression

Consider the problem where a statistician in a two-node system receives rate-limited information from a transmitter about marginal observations of a memoryless process generated from two possible distributions. Using its own observations, this receiver is required to first identify the legitimacy of...

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Bibliographic Details
Published in:	IEEE transactions on information theory Vol. 63; no. 8; pp. 5207 - 5227
Main Authors:	Katz, Gil, Piantanida, Pablo, Debbah, Merouane
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Subjects:	asymptotic performance central detector Computer Science Data compression Decoding discrete spatially dependent observations Distortion distributed detection Error analysis Error detection error exponent Error probability error statistics Hypotheses Information Theory lossy source coding Mathematics multiterminal detection multiterminal source coding Networking and Internet Architecture Receivers Reconstruction side information signal detection Source coding Statistics Testing type-I error rate type-II error rate signal detection asymptotic performance multiterminal source coding Data compression type-II error rate lossy source coding distributed detection error exponent multiterminal detection central detector side infomation discrete spatially dependent observations error statistics type-I error rate
ISSN:	0018-9448, 1557-9654
Online Access:	Get full text
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