DocumentCode
2056823
Title
Blind quality estimation for corrupted source signals based on a-posteriori probabilities
Author
Thobaben, Ragnar ; Land, Ingmar
Author_Institution
Inst. for Circuits & Syst. Theory, Kiel Univ.
fYear
2004
fDate
2004
Firstpage
302
Lastpage
302
Abstract
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
Keywords
Monte Carlo methods; decoding; error statistics; source coding; APP source decoder; Monte-Carlo simulation; aposteriori probability; blind quality estimation; quantized source signal; symbol error probability; transmission systems; Bit error rate; Circuits and systems; Codes; Decoding; Distortion measurement; Error analysis; Error probability; Estimation error; Random variables; Rate distortion theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-8280-3
Type
conf
DOI
10.1109/ISIT.2004.1365339
Filename
1365339
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