Abstract
Joint source-channel decoding based on residual source redundancy is an effective paradigm for error-resilient data compression. While previous work only considered fixed rate systems, the extension of these techniques for variable-length encoded data was recently independently proposed by the authors [6], [7] and by Demir and Sayood [1]. In this paper, we describe and compare the performance of a computationally complex exact maximum a posteriori (MAP) decoder [6], [7], its efficient approximation [6], [7], an alternative approximate MAP decoder [1], and an improved version of this decoder suggested here. Moreover, we evaluate several source and channel coding configurations. Our results show that the approximate MAP technique from [6], [7] outperforms other approximate methods and provides substantial error protection to variable-length encoded data.
Original language | English (US) |
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Pages (from-to) | 2451-2454 |
Number of pages | 4 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 5 |
State | Published - Jan 1 1999 |
Event | Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA Duration: Mar 15 1999 → Mar 19 1999 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering