by Chiu Kim Ming. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 103-108). / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Speech production --- p.2 / Chapter 1.2 --- Low bit rate speech coding --- p.4 / Chapter Chapter 2 --- Speech analysis & synthesis --- p.8 / Chapter 2.1 --- Linear prediction of speech signal --- p.8 / Chapter 2.2 --- LPC vocoder --- p.11 / Chapter 2.2.1 --- Pitch and voiced/unvoiced decision --- p.11 / Chapter 2.2.2 --- Spectral envelope representation --- p.15 / Chapter 2.3 --- Excitation --- p.16 / Chapter 2.3.1 --- Regular pulse excitation and Multipulse excitation --- p.16 / Chapter 2.3.2 --- Coded excitation and vector sum excitation --- p.19 / Chapter 2.4 --- Multiband excitation --- p.22 / Chapter 2.5 --- Multiband excitation vocoder --- p.25 / Chapter Chapter 3 --- Dual-band and Quad-band excitation --- p.31 / Chapter 3.1 --- Dual-band excitation --- p.31 / Chapter 3.2 --- Quad-band excitation --- p.37 / Chapter 3.3 --- Parameters determination --- p.41 / Chapter 3.3.1 --- Pitch detection --- p.41 / Chapter 3.3.2 --- Voiced/unvoiced pattern generation --- p.43 / Chapter 3.4 --- Excitation generation --- p.47 / Chapter Chapter 4 --- A low bit rate Quad-Band Excitation LSP Vocoder --- p.51 / Chapter 4.1 --- Architecture of QBELSP vocoder --- p.51 / Chapter 4.2 --- Coding of excitation parameters --- p.58 / Chapter 4.2.1 --- Coding of pitch value --- p.58 / Chapter 4.2.2 --- Coding of voiced/unvoiced pattern --- p.60 / Chapter 4.3 --- Spectral envelope estimation and coding --- p.62 / Chapter 4.3.1 --- Spectral envelope & the gain value --- p.62 / Chapter 4.3.2 --- Line Spectral Pairs (LSP) --- p.63 / Chapter 4.3.3 --- Coding of LSP frequencies --- p.68 / Chapter 4.3.4 --- Coding of gain value --- p.77 / Chapter Chapter 5 --- Performance evaluation --- p.80 / Chapter 5.1 --- Spectral analysis --- p.80 / Chapter 5.2 --- Subjective listening test --- p.93 / Chapter 5.2.1 --- Mean Opinion Score (MOS) --- p.93 / Chapter 5.2.2 --- Diagnostic Rhyme Test (DRT) --- p.96 / Chapter Chapter 6 --- Conclusions and discussions --- p.99 / References --- p.103 / Appendix A Subroutine of pitch detection --- p.A-I - A-III / Appendix B Subroutine of voiced/unvoiced decision --- p.B-I - B-V / Appendix C Subroutine of LPC coefficients calculation using Durbin's recursive method --- p.C-I - C-II / Appendix D Subroutine of LSP calculation using Chebyshev Polynomials --- p.D-I - D-III / Appendix E Single syllable word pairs for Diagnostic Rhyme Test --- p.E-I

Wong Ling. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves 80-85). / ABSTRACT --- p.1 / Chapter 1. --- INTRODUCTION --- p.2 / Chapter 1.1 --- motivation --- p.4 / Chapter 1.2 --- Original Contributions --- p.5 / Chapter 1.3 --- thesis Structure --- p.5 / Chapter 2. --- BACKGROUND --- p.7 / Chapter 2.1 --- information theory --- p.7 / Chapter 2.2 --- early compression --- p.8 / Chapter 2.2.1 --- Some Source Codes --- p.10 / Chapter 2.2.1.1 --- Huffman Code --- p.10 / Chapter 2.2.1.2 --- Tutstall Code --- p.10 / Chapter 2.2.1.3 --- Arithmetic Code --- p.11 / Chapter 2.3 --- modern techniques for compression --- p.14 / Chapter 2.3.1 --- Statistical Modeling --- p.14 / Chapter 2.3.1.1 --- Context Modeling --- p.15 / Chapter 2.3.1.2 --- State Based Modeling --- p.17 / Chapter 2.3.2 --- Dictionary Based Compression --- p.17 / Chapter 2.3.2.1 --- LZ-compression --- p.19 / Chapter 2.3.3 --- Other Compression Techniques --- p.20 / Chapter 2.3.3.1 --- Block Sorting --- p.20 / Chapter 2.3.3.2 --- Context Tree Weighting --- p.21 / Chapter 3. --- SYMBOL REMAPPING --- p.22 / Chapter 3. 1 --- reviews on Block Sorting --- p.22 / Chapter 3.1.1 --- Forward Transformation --- p.23 / Chapter 3.1.2 --- Inverse Transformation --- p.24 / Chapter 3.2 --- Ordering Method --- p.25 / Chapter 3.3 --- discussions --- p.27 / Chapter 4. --- CONTENT PREDICTION --- p.29 / Chapter 4.1 --- Prediction and Ranking Schemes --- p.29 / Chapter 4.1.1 --- Content Predictor --- p.29 / Chapter 4.1.2 --- Ranking Techn ique --- p.30 / Chapter 4.2 --- Reviews on Context Sorting --- p.31 / Chapter 4.2.1 --- Context Sorting basis --- p.31 / Chapter 4.3 --- General Framework of Content Prediction --- p.31 / Chapter 4.3.1 --- A Baseline Version --- p.32 / Chapter 4.3.2 --- Context Length Merge --- p.34 / Chapter 4.4 --- Discussions --- p.36 / Chapter 5. --- BOUNDED-LENGTH BLOCK SORTING --- p.38 / Chapter 5.1 --- block sorting with bounded context length --- p.38 / Chapter 5.1.1 --- Forward Transformation --- p.38 / Chapter 5.1.2 --- Reverse Transformation --- p.39 / Chapter 5.2 --- Locally Adaptive Entropy Coding --- p.43 / Chapter 5.3 --- discussion --- p.45 / Chapter 6. --- CONTEXT CODING FOR IMAGE DATA --- p.47 / Chapter 6.1 --- Digital Images --- p.47 / Chapter 6.1.1 --- Redundancy --- p.48 / Chapter 6.2 --- model of a compression system --- p.49 / Chapter 6.2.1 --- Representation --- p.49 / Chapter 6.2.2 --- Quantization --- p.50 / Chapter 6.2.3 --- Lossless coding --- p.51 / Chapter 6.3 --- The Embedded Zerotree Wavelet Coding --- p.51 / Chapter 6.3.1 --- Simple Zerotree-like Implementation --- p.53 / Chapter 6.3.2 --- Analysis of Zerotree Coding --- p.54 / Chapter 6.3.2.1 --- Linkage between Coefficients --- p.55 / Chapter 6.3.2.2 --- Design of Uniform Threshold Quantizer with Dead Zone --- p.58 / Chapter 6.4 --- Extensions on Wavelet Coding --- p.59 / Chapter 6.4.1 --- Coefficients Scanning --- p.60 / Chapter 6.5 --- Discussions --- p.61 / Chapter 7. --- CONCLUSIONS --- p.63 / Chapter 7.1 --- Future Research --- p.64 / APPENDIX --- p.65 / Chapter A --- Lossless Compression Results --- p.65 / Chapter B --- Image Compression Standards --- p.72 / Chapter C --- human Visual System Characteristics --- p.75 / Chapter D --- Lossy Compression Results --- p.76 / COMPRESSION GALLERY --- p.77 / Context-based Wavelet Coding --- p.75 / RD-OPT-based jpeg Compression --- p.76 / SPIHT Wavelet Compression --- p.77 / REFERENCES --- p.80

A VLSI system for image compression based on two dimensional discrete cosine transform (2-D DCT) is designed and its performance is estimated. The focus is mainly on the reduction of power consumption and a reasonable speed. A 2-D DCT algorithm called row-column decomposition is chosen for the VLSI design of the system. Then a modified power saving architecture is proposed based on the property and purpose of image compression. Several methods, including the use of low power library cells and low voltage (Vdd=1.5v), are used to achieve the goal of power reduction. Techniques that reduces power, such as ordering of input signals and common term sharing, are applied to the design of the system. These techniques and methods span from algorithm, architecture, logic style and circuit. In addition to using standard cells, some custom cells are also created. The control, timing and synchronization circuitry is detailed in the design of the system. HSPICE simulation shows that the designed 2-D DCT system can operate at more than 20MHz for 8 by 8 image blocks using 1.2u CMOS technology. Based on the effective switched capacitances provided by library cell data sheets, power consumption performance is estimated. The system consumes about 17mW at the maximum speed and the specified supply voltage. Comparisons to other implementations show that the designed system exceeds in power performance. / Graduation date: 1996

Thesis (M.S.)--Baylor University, 2005. / Includes bibliographical references (p. 98).

Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

Thesis (Ph. D.)--West Virginia University, 2008. / Title from document title page. Document formatted into pages; contains xii, 102 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 92-102).

ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California / The U.S. Army Research Laboratory (ARL) is developing an onboard instrument and telemetry system to obtain measurements of the 30mm MK310 projectile's in-flight dynamics. The small size, high launch acceleration, and extremely high rates of this projectile create many design challenges. Particularly challenging is the high spin rate which can reach 1400 Hz at launch. The bandwidth required to continuously transmit solar data using the current method for such a rate would leave no room for data from other sensors. To solve this problem, a data compression scheme is implemented that retains the resolution of the solar sensor data while providing room in the telemetry frame for other measurements.

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