On Source Decoding Based on Finite-Bandwidth Soft Information
2005 (English)In: 2005 IEEE International Symposium on Information Theory (ISIT), 2005, 87-91 p.Conference paper (Refereed)
Designing a communication system using joint source-channel coding in general makes it possible to achieve a better performance than when the source and channel codes are designed separately, especially under strict delay-constraints. The majority of work done in joint source-channel coding uses a discrete channel model, corresponding to an analog channel in conjunction with a hard decision modulation scheme. The performance of such a system can however be improved by using soft decision modulation. The main cost is a higher decoding complexity. An alternative is to quantize the soft information and store the pre-calculated soft decision values in a lookup table. In this paper we propose new methods for quantizing soft channel information, to be used in conjunction with soft-decision source decoding. We achieve a performance close to that of a system using unquantized soft information.
Place, publisher, year, edition, pages
2005. 87-91 p.
Bandwidth, Communication channels (information theory), Communication systems, Computational complexity, Decoding, Modulation, Decoding complexity, Soft information, Source-channel coding, Strict delay-constraints
IdentifiersURN: urn:nbn:se:kth:diva-8449DOI: 10.1109/ISIT.2005.1523298ISI: 000234713800019ScopusID: 2-s2.0-33749452421ISBN: 0-7803-9151-9OAI: oai:DiVA.org:kth-8449DiVA: diva2:13773
QC 201009202008-05-152008-05-152011-10-14Bibliographically approved