liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Power Series Quantization for Noisy Channels
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
2010 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 58, no 5, 1405-1414 p.Article in journal (Refereed) Published
Abstract [en]

A recently proposed method for transmission of correlated sources under noise-free conditions, power series quantization (PSQ), uses a separate linear or nonlinear predictor for each quantizer region, and has shown to increase performance compared to several common quantization schemes for sources with memory. In this paper, it is shown how to apply PSQ for transmission of a source with memory over a noisy channel. A channel-optimized PSQ (COPSQ) encoder and codebook optimization algorithms are derived. The suggested scheme is shown to increase performance compared with previous state-of-the-art methods.

Place, publisher, year, edition, pages
IEEE Institute of Electrical and Electronics , 2010. Vol. 58, no 5, 1405-1414 p.
Keyword [en]
Channel-optimized quantization, noisy channels, memory-based quantization, spectrum coding
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-56803DOI: 10.1109/TCOMM.2010.05.080688ISI: 000277771000014OAI: diva2:322259
©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Daniel Persson and Thomas Eriksson, Power Series Quantization for Noisy Channels, 2010, IEEE TRANSACTIONS ON COMMUNICATIONS, (58), 5, 1405-1414. Available from: 2010-06-04 Created: 2010-06-04 Last updated: 2010-08-20

Open Access in DiVA

fulltext(371 kB)506 downloads
File information
File name FULLTEXT01.pdfFile size 371 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Persson, Daniel
By organisation
Communication SystemsThe Institute of Technology
In the same journal
IEEE Transactions on Communications
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 506 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 1192 hits
ReferencesLink to record
Permanent link

Direct link