Coding and Enhancement in Wireless Acoustic Sensor Networks

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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

Fingerprint

Sensor networks
Acoustics
Microphones
Fusion reactions
Covariance matrix
Processing

Cite this

Zahedi, A., Østergaard, J., Jensen, S. H., Naylor, P., & Bech, S. (2015). Coding and Enhancement in Wireless Acoustic Sensor Networks. In Data Compression Conference (DCC), 2015 (pp. 293 - 302). IEEE Press. Data Compression Conference. Proceedings https://doi.org/10.1109/DCC.2015.20
Zahedi, Adel ; Østergaard, Jan ; Jensen, Søren Holdt ; Naylor, Patrick ; Bech, Søren. / Coding and Enhancement in Wireless Acoustic Sensor Networks. Data Compression Conference (DCC), 2015. IEEE Press, 2015. pp. 293 - 302 (Data Compression Conference. Proceedings).
@inproceedings{fd77b68486b14f54948b5ed889d201f9,
title = "Coding and Enhancement in Wireless Acoustic Sensor Networks",
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",
author = "Adel Zahedi and Jan {\O}stergaard and Jensen, {S{\o}ren Holdt} and Patrick Naylor and S{\o}ren Bech",
year = "2015",
month = "4",
doi = "10.1109/DCC.2015.20",
language = "English",
series = "Data Compression Conference. Proceedings",
publisher = "IEEE Press",
pages = "293 -- 302",
booktitle = "Data Compression Conference (DCC), 2015",

}

Zahedi, A, Østergaard, J, Jensen, SH, Naylor, P & Bech, S 2015, Coding and Enhancement in Wireless Acoustic Sensor Networks. in Data Compression Conference (DCC), 2015. IEEE Press, Data Compression Conference. Proceedings, pp. 293 - 302, 2015 Data Compression Conference (DCC), Snowbird, UT, United States, 07/04/2015. https://doi.org/10.1109/DCC.2015.20

Coding and Enhancement in Wireless Acoustic Sensor Networks. / Zahedi, Adel; Østergaard, Jan; Jensen, Søren Holdt; Naylor, Patrick; Bech, Søren.

Data Compression Conference (DCC), 2015. IEEE Press, 2015. p. 293 - 302 (Data Compression Conference. Proceedings).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - Coding and Enhancement in Wireless Acoustic Sensor Networks

AU - Zahedi, Adel

AU - Østergaard, Jan

AU - Jensen, Søren Holdt

AU - Naylor, Patrick

AU - Bech, Søren

PY - 2015/4

Y1 - 2015/4

N2 - 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

AB - 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

U2 - 10.1109/DCC.2015.20

DO - 10.1109/DCC.2015.20

M3 - Article in proceeding

T3 - Data Compression Conference. Proceedings

SP - 293

EP - 302

BT - Data Compression Conference (DCC), 2015

PB - IEEE Press

ER -

Zahedi A, Østergaard J, Jensen SH, Naylor P, Bech S. Coding and Enhancement in Wireless Acoustic Sensor Networks. In Data Compression Conference (DCC), 2015. IEEE Press. 2015. p. 293 - 302. (Data Compression Conference. Proceedings). https://doi.org/10.1109/DCC.2015.20