NDLI: Robust Index Assignment for MDSQ Encoder Over Noisy Channels

Content Provider	IEEE Xplore Digital Library
Author	Rui Ma Labeau, F.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que. (Rui Ma; Labeau, F.)
Abstract	Multiple description coding (MDC) can achieve acceptable performance with only one single correct description, and lower distortion of the source when more descriptions are received correctly. In our previous work, we assumed that because of noisy channel, bit errors were introduced into one description, but the other one was received correctly. Based on this assumption, an enhanced central decoder has been proposed to utilize the residual information between the corrupted and the correct description to reduce the distortion of the reconstructed signals. In this paper, a novel index assignment algorithm for multiple description scalar quantizer (MDSQ) encoder is developed to improve the error detection capability of the central decoder. Genetic algorithm (GA) is used to search for a suboptimal solution. The experimental results show that within a range of bit error rates (BERs), the proposed algorithm provides lower reconstruction distortion than the conventional MDSQ
Starting Page	286
Ending Page	290
File Size	5699001
Page Count	5
File Format	PDF
ISBN	0780397517
DOI	10.1109/MMSP.2006.285315
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-03
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Error correction Decoding Distortion Image reconstruction Genetic algorithms Bit error rate Heuristic algorithms Design methodology Communications technology
Content Type	Text
Resource Type	Article

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