Cover image for Digital sIgnal processing and statistical classification
Title:
Digital sIgnal processing and statistical classification
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Publication Information:
Boston : Artech House, 2002
ISBN:
9781580531351
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30000010019184 TK5102.9 M53 2002 Open Access Book Book
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Summary

Summary

Statistical digital signal processing (DSP) has a wide range of applications in the areas of speech, image, video and data for the world of wireless communication, as well as in acoustics, radar, sonar, remote sensing, digital instrumentation and consumer electronics. Covering the fundamentals of this technology, this book provides a technical reference and research tool for practising engineers and for graduate students in both electrical and computer engineering.


Author Notes

George J. Miao holds M.S. degree from Columbia University and Ph.D. degree in Electrical Engineering from the Georgia Institute of Technology.

Dr. Miao specializes in digital signal processing with applications in telecommunications. Dr. Miao works on DSP and communication system design for companies including Motorola, Fujitsu Network Communications, Hewlett-Packard, and Intel Corporation. Dr. Miao is an author and co-author of numerous technical publications. Dr. Miao was listed in International Who’s Who of Information Technology in 1999.

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Table of Contents

Preface
Introduction
Discrete-Time Signal Processing-Introduction
Discrete-Time Signals
Discrete-Time Systems
Linear Time-Invariant Systems
The z-Transform
The Inverse z-transform
Frequency-Domain of Discrete-Time Signals and Systems
Summary
Discrete-Time Transforms---Introduction
The Discrete Fourier Transform
The Fast Fourier Transform
The Discrete Cosine Transform
The Discrete Hilbert Transforms
Summary
Digital Filtering-Introduction
Filter Specifications
FIR Filter Design
IIR Filter Design
Implementation of Filter Flowgraph
Adaptive Filters
Summary
Discrete-Time Multirate Signal Processing-Introduction
Decimation and Interpolation System
Efficient Polyphase Architecture for Implementing Multirate Signal System
Efficient Design Techniques of Multiband Filters
The Narrowband Filter and the Wideband Filter Design
Multistage Design of Multirate Signal Processing
Summary
Multirate Data Converters-Introduction
Quantization Noise
Multirate A/D Converter
Multirate D/A Converter
Oversampling A/D Converters
Sigma-Delta A/D Converter
Hybrid QMF Bank A/D and D/A Converter
Summary
Multidimensional Statistical Digital Signal Classification-Introduction
Digital Signal Preprocessor
Selection of Digital Measurement Features
Cluster Analysis
Feature Extraction Theory
Digital Signal Classification
Estimated Probability of Misclassification
Summary
Transform-Based Statistical Digital Signal Classification-Introduction
System Architectures of Transform-based Statistical Digital Signal Classification
Matrix Algebra of Linear Transform
Generalized Principal Component Transform
Canonical Correlation Transform
Canonical Discrimination Transform
Generalized Optimal De-clustering Transform
Transform-based Statistical Digital Signal Classifiers
Summary
Bibliography
Index