Digital Signal Processing and Statistical Classification

by George J. Miao, Mark A. Clements

Overview

This is the first book to introduce and integrate advanced digital signal processing (DSP) and classification together, and the only volume to introduce state-of-the-art transforms including DFT, FFT, DCT, DHT, PCT, CDT, and ODT together for DSP and communication applications. You get step-by-step guidance in discrete-time domain signal processing and frequency domain signal analysis; digital filter design and adaptive filtering; multirate digital processing; and statistical signal classification. It also helps you overcome problems associated with multirate A/D and D/A converters.

Product Details

ISBN-13:	9781580531351
Publisher:	Artech House, Incorporated
Publication date:	06/01/2002
Series:	Artech House Signal Processing Library Series
Pages:	511
Product dimensions:	6.30(w) x 9.30(h) x 1.40(d)

About the Author

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. Mark A. Clements is a professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, and a director of their Interactive Media Technology Center. He holds B.S., S.M., E.E., and Sc.D. degrees, all in Electrical Engineering, from MIT. Dr. Clements has published technical papers extensively. Dr. Clements serves a member of the IEEE speech technical committee. Dr. Clements was technical program co-chairman of Speech Tech in 1986 and Technical Program Chair of ICASSP in 1996. Dr. Clements was an associate editor for IEEE Transactions on Acoustics, Speech, and Signal Processing.

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.

Editorial Reviews

Miao, a specialist in digital signal processing with applications in multimedia, wireless, and wireline communications, and Clements (electrical and computer engineering, Georgia Institute of Technology) integrate the two topics and introduce discrete Fourier, discrete cosine, discrete sine, discrete Hartley, and other contemporary transforms. They assume readers have an undergraduate understanding of advanced calculus, linear system theory, probability and random variables, linear algebra, data conversion, and the basic theory of digital signal processing. Annotation c. Book News, Inc., Portland, OR (booknews.com)