JOURNAL ARTICLE

Embedded trellis coded quantization

Abstract

Embedded trellis coded quantization (E-TCQ) is introduced as an embedded quantization technique which achieves good rate-distortion performance for reasonable computational complexity. The performance of E-TCQ is investigated for memoryless Gaussian, Laplacian, and uniform sources. E-TCQ is shown to outperform multi-stage TCQ. For Gaussian and Laplacian sources the performance of ETCQ shows large gains over the performance of scalar embedded quantizers. In the case of a Gaussian source, the performance loss of E-TCQ compared with TCQ decreases with increasing number of trellis states.

Keywords:
Trellis quantization Quantization (signal processing) Gaussian Computer science Trellis (graph) Algorithm Electronic engineering Mathematics Decoding methods Engineering Artificial intelligence Physics Image (mathematics) Image processing

Metrics

13
Cited By
1.36
FWCI (Field Weighted Citation Impact)
16
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing
Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics

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