Analysis of Wyner-Ziv quantizers for packet loss

Shaminda Subasingha, Manohar Murthi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Distributed Source Coding (DSC) has gained wide popularity in applications such as video coding and distributed sensor networks. However, DSC has not been widely explored for use in low delay, low bit rate applications such as quantization of speech parameters. This is due to the difficulty of designing quantizers with imperfect side information resulting from decoding errors, quantization noise and packet losses. We address this fundamental problem by modeling the decoder as a three state system based on the packet losses/receptions and correct/incorrect decodings. Then we derive the expressions for the error variance of each of the states and solve them under stationary conditions. This enables one to model, analyze and design scalar uniform coset quantizers for imperfect side information. Simulation results verify the improved performance of the designed WZ quantizers over predictive and non-predictive quantization schemes in packet loss.

Original languageEnglish
Title of host publicationConference Record - Asilomar Conference on Signals, Systems and Computers
Pages1217-1221
Number of pages5
DOIs
StatePublished - Dec 1 2009
Event43rd Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 1 2009Nov 4 2009

Other

Other43rd Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/1/0911/4/09

Fingerprint

Packet loss
Decoding
Image coding
Sensor networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Subasingha, S., & Murthi, M. (2009). Analysis of Wyner-Ziv quantizers for packet loss. In Conference Record - Asilomar Conference on Signals, Systems and Computers (pp. 1217-1221). [5469980] https://doi.org/10.1109/ACSSC.2009.5469980

Analysis of Wyner-Ziv quantizers for packet loss. / Subasingha, Shaminda; Murthi, Manohar.

Conference Record - Asilomar Conference on Signals, Systems and Computers. 2009. p. 1217-1221 5469980.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Subasingha, S & Murthi, M 2009, Analysis of Wyner-Ziv quantizers for packet loss. in Conference Record - Asilomar Conference on Signals, Systems and Computers., 5469980, pp. 1217-1221, 43rd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, United States, 11/1/09. https://doi.org/10.1109/ACSSC.2009.5469980
Subasingha S, Murthi M. Analysis of Wyner-Ziv quantizers for packet loss. In Conference Record - Asilomar Conference on Signals, Systems and Computers. 2009. p. 1217-1221. 5469980 https://doi.org/10.1109/ACSSC.2009.5469980
Subasingha, Shaminda ; Murthi, Manohar. / Analysis of Wyner-Ziv quantizers for packet loss. Conference Record - Asilomar Conference on Signals, Systems and Computers. 2009. pp. 1217-1221
@inproceedings{681c3881503f4824ac07b85021348b79,
title = "Analysis of Wyner-Ziv quantizers for packet loss",
abstract = "Distributed Source Coding (DSC) has gained wide popularity in applications such as video coding and distributed sensor networks. However, DSC has not been widely explored for use in low delay, low bit rate applications such as quantization of speech parameters. This is due to the difficulty of designing quantizers with imperfect side information resulting from decoding errors, quantization noise and packet losses. We address this fundamental problem by modeling the decoder as a three state system based on the packet losses/receptions and correct/incorrect decodings. Then we derive the expressions for the error variance of each of the states and solve them under stationary conditions. This enables one to model, analyze and design scalar uniform coset quantizers for imperfect side information. Simulation results verify the improved performance of the designed WZ quantizers over predictive and non-predictive quantization schemes in packet loss.",
author = "Shaminda Subasingha and Manohar Murthi",
year = "2009",
month = "12",
day = "1",
doi = "10.1109/ACSSC.2009.5469980",
language = "English",
isbn = "9781424458271",
pages = "1217--1221",
booktitle = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

}

TY - GEN

T1 - Analysis of Wyner-Ziv quantizers for packet loss

AU - Subasingha, Shaminda

AU - Murthi, Manohar

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Distributed Source Coding (DSC) has gained wide popularity in applications such as video coding and distributed sensor networks. However, DSC has not been widely explored for use in low delay, low bit rate applications such as quantization of speech parameters. This is due to the difficulty of designing quantizers with imperfect side information resulting from decoding errors, quantization noise and packet losses. We address this fundamental problem by modeling the decoder as a three state system based on the packet losses/receptions and correct/incorrect decodings. Then we derive the expressions for the error variance of each of the states and solve them under stationary conditions. This enables one to model, analyze and design scalar uniform coset quantizers for imperfect side information. Simulation results verify the improved performance of the designed WZ quantizers over predictive and non-predictive quantization schemes in packet loss.

AB - Distributed Source Coding (DSC) has gained wide popularity in applications such as video coding and distributed sensor networks. However, DSC has not been widely explored for use in low delay, low bit rate applications such as quantization of speech parameters. This is due to the difficulty of designing quantizers with imperfect side information resulting from decoding errors, quantization noise and packet losses. We address this fundamental problem by modeling the decoder as a three state system based on the packet losses/receptions and correct/incorrect decodings. Then we derive the expressions for the error variance of each of the states and solve them under stationary conditions. This enables one to model, analyze and design scalar uniform coset quantizers for imperfect side information. Simulation results verify the improved performance of the designed WZ quantizers over predictive and non-predictive quantization schemes in packet loss.

UR - http://www.scopus.com/inward/record.url?scp=77953843847&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77953843847&partnerID=8YFLogxK

U2 - 10.1109/ACSSC.2009.5469980

DO - 10.1109/ACSSC.2009.5469980

M3 - Conference contribution

AN - SCOPUS:77953843847

SN - 9781424458271

SP - 1217

EP - 1221

BT - Conference Record - Asilomar Conference on Signals, Systems and Computers

ER -