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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

All-optical networks with sparse wavelength conversion /

Subramaniam, Suresh, January 1997 (has links)
Thesis (Ph. D.)--University of Washington, 1997. / Vita. Includes bibliographical references (leaves [119]-125).
12

Evaluation of ANSI compression in a bulk data file transfer system /

Chaulklin, Douglas Gary. January 1991 (has links)
Project report (M. Eng.)--Virginia Polytechnic Institute and State University, 1991. / Abstract. Includes bibliographical references (leaves 63-64). Also available via the Internet.
13

Low bit rate compression of Marine imagery using fast ECVQ /

Johnson, Mary Holland. January 1999 (has links)
Thesis (Ph. D.)--University of Washington, 1999. / Vita. Includes bibliographical references (leaves 97-102).
14

A reference guide to JPEG compression /

Goodenow, Daniel P. January 1993 (has links)
Thesis (M.S.)--Rochester Institute of Technology, 1993. / Typescript. Includes bibliographical references.
15

Efficient software implementation of the JBIG compression standard /

Smith, Craig M. January 1993 (has links)
Thesis (M.S.)--Rochester Institute of Technology, 1993. / Typescript. Includes bibliographical references (leaves 72-74).
16

Evaluation of ANSI compression in a bulk data file transfer system

Chaulklin, Douglas Gary 20 January 2010 (has links)
This report evaluates the use of a newly proposed American National Standard Institute (ANSI) standard for data compression in a bulk data transmission system. An overview of the transmission system, the current compression method, and the ANSI algorithm are presented. A dynamic systems model is used to analyze the benefits and impacts of various alternatives to addressing the needs of the system. A decision model is built to summarize the alternatives based on the perceived problem contexts. / Master of Engineering
17

Associative neural networks: properties, learning, and applications.

January 1994 (has links)
by Chi-sing Leung. / Thesis (Ph.D.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 236-244). / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Background of Associative Neural Networks --- p.1 / Chapter 1.2 --- A Distributed Encoding Model: Bidirectional Associative Memory --- p.3 / Chapter 1.3 --- A Direct Encoding Model: Kohonen Map --- p.6 / Chapter 1.4 --- Scope and Organization --- p.9 / Chapter 1.5 --- Summary of Publications --- p.13 / Chapter I --- Bidirectional Associative Memory: Statistical Proper- ties and Learning --- p.17 / Chapter 2 --- Introduction to Bidirectional Associative Memory --- p.18 / Chapter 2.1 --- Bidirectional Associative Memory and its Encoding Method --- p.18 / Chapter 2.2 --- Recall Process of BAM --- p.20 / Chapter 2.3 --- Stability of BAM --- p.22 / Chapter 2.4 --- Memory Capacity of BAM --- p.24 / Chapter 2.5 --- Error Correction Capability of BAM --- p.28 / Chapter 2.6 --- Chapter Summary --- p.29 / Chapter 3 --- Memory Capacity and Statistical Dynamics of First Order BAM --- p.31 / Chapter 3.1 --- Introduction --- p.31 / Chapter 3.2 --- Existence of Energy Barrier --- p.34 / Chapter 3.3 --- Memory Capacity from Energy Barrier --- p.44 / Chapter 3.4 --- Confidence Dynamics --- p.49 / Chapter 3.5 --- Numerical Results from the Dynamics --- p.63 / Chapter 3.6 --- Chapter Summary --- p.68 / Chapter 4 --- Stability and Statistical Dynamics of Second order BAM --- p.70 / Chapter 4.1 --- Introduction --- p.70 / Chapter 4.2 --- Second order BAM and its Stability --- p.71 / Chapter 4.3 --- Confidence Dynamics of Second Order BAM --- p.75 / Chapter 4.4 --- Numerical Results --- p.82 / Chapter 4.5 --- Extension to higher order BAM --- p.90 / Chapter 4.6 --- Verification of the conditions of Newman's Lemma --- p.94 / Chapter 4.7 --- Chapter Summary --- p.95 / Chapter 5 --- Enhancement of BAM --- p.97 / Chapter 5.1 --- Background --- p.97 / Chapter 5.2 --- Review on Modifications of BAM --- p.101 / Chapter 5.2.1 --- Change of the encoding method --- p.101 / Chapter 5.2.2 --- Change of the topology --- p.105 / Chapter 5.3 --- Householder Encoding Algorithm --- p.107 / Chapter 5.3.1 --- Construction from Householder Transforms --- p.107 / Chapter 5.3.2 --- Construction from iterative method --- p.109 / Chapter 5.3.3 --- Remarks on HCA --- p.111 / Chapter 5.4 --- Enhanced Householder Encoding Algorithm --- p.112 / Chapter 5.4.1 --- Construction of EHCA --- p.112 / Chapter 5.4.2 --- Remarks on EHCA --- p.114 / Chapter 5.5 --- Bidirectional Learning --- p.115 / Chapter 5.5.1 --- Construction of BL --- p.115 / Chapter 5.5.2 --- The Convergence of BL and the memory capacity of BL --- p.116 / Chapter 5.5.3 --- Remarks on BL --- p.120 / Chapter 5.6 --- Adaptive Ho-Kashyap Bidirectional Learning --- p.121 / Chapter 5.6.1 --- Construction of AHKBL --- p.121 / Chapter 5.6.2 --- Convergent Conditions for AHKBL --- p.124 / Chapter 5.6.3 --- Remarks on AHKBL --- p.125 / Chapter 5.7 --- Computer Simulations --- p.126 / Chapter 5.7.1 --- Memory Capacity --- p.126 / Chapter 5.7.2 --- Error Correction Capability --- p.130 / Chapter 5.7.3 --- Learning Speed --- p.157 / Chapter 5.8 --- Chapter Summary --- p.158 / Chapter 6 --- BAM under Forgetting Learning --- p.160 / Chapter 6.1 --- Introduction --- p.160 / Chapter 6.2 --- Properties of Forgetting Learning --- p.162 / Chapter 6.3 --- Computer Simulations --- p.168 / Chapter 6.4 --- Chapter Summary --- p.168 / Chapter II --- Kohonen Map: Applications in Data compression and Communications --- p.170 / Chapter 7 --- Introduction to Vector Quantization and Kohonen Map --- p.171 / Chapter 7.1 --- Background on Vector quantization --- p.171 / Chapter 7.2 --- Introduction to LBG algorithm --- p.173 / Chapter 7.3 --- Introduction to Kohonen Map --- p.174 / Chapter 7.4 --- Chapter Summary --- p.179 / Chapter 8 --- Applications of Kohonen Map in Data Compression and Communi- cations --- p.181 / Chapter 8.1 --- Use Kohonen Map to design Trellis Coded Vector Quantizer --- p.182 / Chapter 8.1.1 --- Trellis Coded Vector Quantizer --- p.182 / Chapter 8.1.2 --- Trellis Coded Kohonen Map --- p.188 / Chapter 8.1.3 --- Computer Simulations --- p.191 / Chapter 8.2 --- Kohonen MapiCombined Vector Quantization and Modulation --- p.195 / Chapter 8.2.1 --- Impulsive Noise in the received data --- p.195 / Chapter 8.2.2 --- Combined Kohonen Map and Modulation --- p.198 / Chapter 8.2.3 --- Computer Simulations --- p.200 / Chapter 8.3 --- Error Control Scheme for the Transmission of Vector Quantized Data --- p.213 / Chapter 8.3.1 --- Motivation and Background --- p.214 / Chapter 8.3.2 --- Trellis Coded Modulation --- p.216 / Chapter 8.3.3 --- "Combined Vector Quantization, Error Control, and Modulation" --- p.220 / Chapter 8.3.4 --- Computer Simulations --- p.223 / Chapter 8.4 --- Chapter Summary --- p.226 / Chapter 9 --- Conclusion --- p.232 / Bibliography --- p.236
18

Analog non-linear coding for improved performance in compressed sensing

Hu, Yichuan. January 2009 (has links)
Thesis (M.S.E.C.E.)--University of Delaware, 2009. / Principal faculty advisor: Javier Garcia-Frias, Dept. of Electrical & Computer Engineering. Includes bibliographical references.
19

Ultrasonic non-destructive testing using digital pulse compression /

Hui, Man-shan. January 1900 (has links)
Thesis (M. Phil.)--University of Hong Kong, 1981.
20

Implementation of Low bit-rate image codec

鄧世健, Tang, Sai-kin, Owen. January 1994 (has links)
published_or_final_version / Electrical and Electronic Engineering / Master / Master of Philosophy

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