Publication Date
1999
Document Type
Dissertation/Thesis
First Advisor
Woo, Peng-Yung
Degree Name
M.S. (Master of Science)
Legacy Department
Department of Electrical Engineering
LCSH
Digital communications; Signal processing--Digital techniques; Speech processing systems; Echo suppression (Telecommunication); Algorithms
Abstract
With the development of DSP (Digital Signal Processing) technologies in the last two decades, more and more DSP applications systems have been used in telecommunication applications such as echo cancellation, and speech processing. This thesis provides two DSP algorithms: a new speech compression technique and a "Two- Echo-Path" model line echo cancellation system. The new approach of speech compression technique that can be used in communication systems such as voice mail, answering machines, and multimedia is introduced in Chapter 2. The goal of the new speech compression algorithm is to reduce the computation complexities of speech compression algorithms while keeping the processed speech quality reasonable. A VQ (Vector Quantization) technique, preemphasis, long-term prediction, and sampling rate conversions are used in this speech compression algorithm. The computer simulation in C programs and real-time implementation in TMS320C50 are presented as well. The echo cancellation system with the "Two-Echo-Path" model is introduced in this thesis both theoretically and practically. In this system, the details of the "Two-Echo- Path" are discussed by way of a comparison with the traditional method. An adaptive algorithm and some logical control rules are used to realize more robust and higher performance line echo cancellation. The computer simulation and real-time implementation with the TMS320C50 Digital Signal Processor (DSP) are presented.
Recommended Citation
Chen, Xi, "Speech compression and echo cancellation algorithm development for digital communication systems" (1999). Graduate Research Theses & Dissertations. 5015.
https://huskiecommons.lib.niu.edu/allgraduate-thesesdissertations/5015
Extent
ix, 100 pages
Language
eng
Publisher
Northern Illinois University
Rights Statement
In Copyright
Rights Statement 2
NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.
Media Type
Text
Comments
Includes bibliographical references (pages [86]-87)