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Scalable Coding with Side Information for Packet Loss Recovery
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2009 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 57, no 8, 2309-2319 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a packet loss recovery method that uses an incomplete secondary encoding based on scalar quantization as redundancy. The method is redundancy bit rate scalable and allows an adaptation to varying loss scenarios and a varying packeting strategy. The recovery is performed by minimum mean squared error estimation incorporating a statistical model for the quantizers to facilitate real.-time adaptation. A bit allocation algorithm is proposed that extends 'reverse water filling' to the problem of scalar encoding dependent variables for a decoder with a final estimation stage and available side information. We apply the method to the encoding of line-spectral frequencies (LSFs), which are commonly used in speech coding, illustrating the good performance of the method.

Place, publisher, year, edition, pages
2009. Vol. 57, no 8, 2309-2319 p.
Keyword [en]
Robust coding, packet loss, media-specific forward error correction, multiple description coding, joint source channel coding, speech coding
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-18679DOI: 10.1109/tcomm.2009.08.070351ISI: 000268852500026ScopusID: 2-s2.0-69449108772OAI: diva2:336726
QC 20100525 32nd IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, HI, APR 15-20, 2007Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2011-03-04Bibliographically approved

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