Signal Processing and Soft Computing

Author: Shi Xizhi et al.
Publisher:
Publish Date: 2003-10-01
Features: This book is organized into three parts: classical signal processing, modern signal processing, and intelligent signal processing. The book consists of fifteen chapters, including an introduction, signal systems and linear transformations, discrete Fourier transform and fast algorithms, digital filters, MATLAB language and signal processing, correlation analysis and spectral analysis, modern spectral estimation, non-stationary signal analysis, nonlinear signal analysis, chaotic time series analysis, neural networks and signal processing, fuzzy logic and signal processing, evolutionary algorithms and optimization, digital signal processors (DSP) and engineering application examples. The book strives for conciseness and clarity in both selection and presentation, introducing the fundamental concepts, theories, algorithms, and implementations of the above topics in a systematic manner with minimal content. They also reflect the important issues and development trends in the field of signal processing over the past decade. This book can serve as a research textbook for graduate students in a wide range of disciplines such as mechanical engineering, power engineering, marine engineering, biomedical engineering, chemical engineering, mechanics, instrumentation engineering, etc. (non-electronics-related fields), as well as a self-study reference for engineering and technical personnel.