Coding and Enhancement in Wireless Acoustic Sensor Networks

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4 Citations (Scopus)

Abstract

We formulate a new problem which bridges between source coding and enhancement in wireless acoustic sensor networks. We consider a network of wireless microphones, each of which encoding its own measurement under a covariance matrix distortion constraint and sending it to a fusion center. To process the data at the center, we use a recent spatio-temporal prediction filter. We assume that a weighted sum-rate for the network is specified. The problem is to allocate optimal distortion matrices to the nodes in order to achieve a maximum output SNR at the fusion center after processing the received data, while the weighted sum-rate for the network is no more than the specified value. We formulate this problem as an optimization problem for which we derive a set of equalities imposed on the solution by studying the KKT conditions. In particular, for the special case of scalar sources with two microphones and a sum-rate constraint, we derive the distortion allocation in closed form and will show that if the given sum-rate is higher than a critical value, the stationary points from the KKT conditions lead to distortion allocations which maximize the output SNR of the filter
Original languageEnglish
Title of host publicationData Compression Conference (DCC), 2015
Number of pages10
PublisherIEEE Press
Publication dateApr 2015
Pages293 - 302
ISBN (Electronic)978-1-4799-8430-5
DOIs
Publication statusPublished - Apr 2015
Event2015 Data Compression Conference (DCC) - Snowbird, UT, United States
Duration: 7 Apr 20159 Apr 2015

Conference

Conference2015 Data Compression Conference (DCC)
CountryUnited States
CitySnowbird, UT
Period07/04/201509/04/2015
SeriesData Compression Conference. Proceedings
ISSN1068-0314

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