Trellis-coded quantization with unequal distortion.

Abstract

Kwong Cheuk Fai.Thesis (M.Phil.)--Chinese University of Hong Kong, 2001.Includes bibliographical references (leaves 72-74).Abstracts in English and Chinese.Acknowledgements --- p.iAbstract --- p.iiTable of Contents --- p.ivChapter 1 --- Introduction --- p.1Chapter 1.1 --- Quantization --- p.2Chapter 1.2 --- Trellis-Coded Quantization --- p.3Chapter 1.3 --- Thesis Organization --- p.4Chapter 2 --- Trellis-Coded Modulation --- p.6Chapter 2.1 --- Convolutional Codes --- p.7Chapter 2.1.1 --- Generator Polynomials and Generator Matrix --- p.9Chapter 2.1.2 --- Circuit Diagram --- p.10Chapter 2.1.3 --- State Transition Diagram --- p.11Chapter 2.1.4 --- Trellis Diagram --- p.12Chapter 2.2 --- Trellis-Coded Modulation --- p.13Chapter 2.2.1 --- Uncoded Transmission verses TCM --- p.14Chapter 2.2.2 --- Trellis Representation --- p.17Chapter 2.2.3 --- Ungerboeck Codes --- p.18Chapter 2.2.4 --- Set Partitioning --- p.19Chapter 2.2.5 --- Decoding for TCM --- p.22Chapter 3 --- Trellis-Coded Quantization --- p.26Chapter 3.1 --- Scalar Trellis-Coded Quantization --- p.26Chapter 3.2 --- Trellis-Coded Vector Quantization --- p.31Chapter 3.2.1 --- Set Partitioning in TCVQ --- p.33Chapter 3.2.2 --- Codebook Optimization --- p.34Chapter 3.2.3 --- Numerical Data and Discussions --- p.35Chapter 4 --- Trellis-Coded Quantization with Unequal Distortion --- p.38Chapter 4.1 --- Design Procedures --- p.40Chapter 4.2 --- Fine and Coarse Codebooks --- p.41Chapter 4.3 --- Set Partitioning --- p.44Chapter 4.4 --- Codebook Optimization --- p.45Chapter 4.5 --- Decoding for Unequal Distortion TCVQ --- p.46Chapter 5 --- Unequal Distortion TCVQ on Memoryless Gaussian Source --- p.47Chapter 5.1 --- Memoryless Gaussian Source --- p.49Chapter 5.2 --- Set Partitioning of Codewords of Memoryless Gaussian Source --- p.49Chapter 5.3 --- Numerical Results and Discussions --- p.51Chapter 6 --- Unequal Distortion TCVQ on Markov Gaussian Source --- p.57Chapter 6.1 --- Markov Gaussian Source --- p.57Chapter 6.2 --- Set Partitioning of Codewords of Markov Gaussian Source --- p.58Chapter 6.3 --- Numerical Results and Discussions --- p.59Chapter 7 --- Conclusions --- p.70Bibliography --- p.7