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Blind quality estimation for corrupted source signals based on A-posteriori probabilities
University of Kiel. (Institute for Circuits and Systems)ORCID iD: 0000-0001-9307-484X
University of Kiel. (Information and Coding Theory Lab)
2004 (English)In: 2004 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, PROCEEDINGS, NEW YORK: IEEE , 2004, 304-304 p.Conference paper (Refereed)
Abstract [en]

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.
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-29025ISI: 000223202600304OAI: diva2:394219
IEEE International Symposium on Information Theory, Chicago, IL, JUN 27-JUL 02, 2004

QC 20110202

Available from: 2011-02-02 Created: 2011-01-25 Last updated: 2016-05-12Bibliographically approved

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Thobaben, Ragnar
Computer and Information Science

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