Abstract
New trellis constructions for compression of short data sequences are presented. Traditional low rate trellis
source coding suffers from having a too small a reproduction alphabet. Governed by alphabet-constrained rate-distortion theory we propose a simple method
which for a source coding rate of 1 bit per sample allows 2n reconstruction values for a trellis with 2n states. The proposed method is based on the maximum a posteriori probability criterion distortion measure and it employs tailbiting. Simulation results are compared to TCQ-like methods.
source coding suffers from having a too small a reproduction alphabet. Governed by alphabet-constrained rate-distortion theory we propose a simple method
which for a source coding rate of 1 bit per sample allows 2n reconstruction values for a trellis with 2n states. The proposed method is based on the maximum a posteriori probability criterion distortion measure and it employs tailbiting. Simulation results are compared to TCQ-like methods.
Original language | English |
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Title of host publication | Proc., IEEE Data Compression Conf., Snowbird, UT |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 43-52 |
Number of pages | 10 |
ISBN (Print) | 0-7695-1896-6 |
DOIs | |
Publication status | Published - 2003 |
Event | IEEE Data Compression Conference - Snowbird, UT, United States Duration: 2003 Mar 25 → 2003 Mar 27 |
Conference
Conference | IEEE Data Compression Conference |
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Country/Territory | United States |
City | Snowbird, UT |
Period | 2003/03/25 → 2003/03/27 |
Subject classification (UKÄ)
- Electrical Engineering, Electronic Engineering, Information Engineering
Free keywords
- minimum mean squared error
- short data sequence
- tail-biting BCJR algorithm
- trellis coded quantization
- TCQ-like method
- alphabet-constrained rate-distortion theory
- lossy source coding
- data compression
- trellis source coding
- MAP criterion
- maximum a posteriori
- VA
- tailbiting
- Viterbi algorithm
- MMSE