Modern Digital Signal Processing

Author: Huangfu Kan, Jianwen Lou, Shengqiang
Publisher:
Publish Date: 2003-09-01
Features: This book comprehensively and systematically elaborates on the theory, methods, and applications of modern digital signal processing. The book is divided into 13 chapters, with the main content including: fundamentals, linear models of stationary processes, deterministicleast squares filters, statisticalleast squares filters, adaptive filters, modern power spectrum estimation, discrete Hilbert transform, homomorphic signal processing, higher-order spectrum estimation, short-time Fourier transform, wavelet transform, Wigner distribution, and multirate signal processing. Each chapter provides a large number of exercises, and references are included at the end of the book. This book can serve as both a textbook and reference for senior undergraduate students, master's students, and doctoral students in information and communication engineering and related fields at universities, as well as a reference and training material for a broad range of technical personnel in enterprises and institutions engaged in communication and electronic systems, signal and information processing, and related fields.