Blind quality estimation for corrupted source signals based on A-posteriori probabilities
2004 (English)In: 2004 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS, NEW YORK: IEEE , 2004, 304-304 p.Conference paper (Refereed)
A novel approach is presented for assessing the quality of transmission systems, comprising quantized source signals and APP source decoders, via Monte-Carlo simulation. A-posteriori probabilities are exploited in order to obtain an unbiased estimate of both the symbol error probability and the expected distortion for the transmission system; knowledge of the transmitted source signal is not necessary. Compared to the conventional method this blind quality estimation has a smaller estimation variance.
Place, publisher, year, edition, pages
NEW YORK: IEEE , 2004. 304-304 p.
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-29025ISI: 000223202600304OAI: oai:DiVA.org:kth-29025DiVA: diva2:394219
IEEE International Symposium on Information Theory, Chicago, IL, JUN 27-JUL 02, 2004
QC 201102022011-02-022011-01-252016-05-12Bibliographically approved