Introduction to Signal Processing

Author: (USA) McClellan et al. / Zhou Liqing et al.
Publisher:
Publish Date: 2005-04-01
Features: This book is written by three authors based on their nearly ten years of teaching and research achievements. Early learning of the signal processing course will provide electrical and computer engineering students with an excellent opportunity to recognize that mathematics and digital operations are the key to understanding what is commonly referred to as applied engineering. As non-professionals begin to frequently use digital signal processing technology in various aspects of science and technology, this point is becoming increasingly important. If readers carefully study this book, complete the after-class exercises, and engage in related laboratory projects, they will gain the ability to understand the applications of linear filtering, amplitude modulation, sampling principles, and discrete-time filtering and spectral analysis. The accompanying CD-ROM records the entire course content, including demonstration programs and animations used in class, laboratory test tools, and solutions to after-class exercises. These materials provide a new intuitive approach beyond formula concepts, helping us better understand the principles and methods of signal processing. This book strives to thoroughly explain the fundamental principles of signal processing, with its structure progressing from simple continuous-time sinusoidal signals to discrete-time signals and systems, and then returning to continuous-time signals. The first eight chapters discuss continuous-time sinusoidal signals and their complex exponential expressions in detail; introduce the concepts of spectrum and Fourier series; study methods for sampling sinusoidal signals, elaborating on the characteristics of discrete signals and discrete systems; introduce basic linear system concepts through FIR filters; derive and explain the key concept of frequency response; then introduce the z-transform and IIR systems. After that, it returns to continuous-time signals and systems, introducing convolution and the frequency response of continuous-time systems, and discussing the Fourier transform. Finally, it discusses the applications of signal processing in areas such as linear filtering, modulation, and spectral analysis. This book places great emphasis on experiments, including many new experimental projects such as filtering, Fourier series, and analog and digital communications, especially those related to multimedia; it also employs many new argumentation methods with visual appeal. The book incorporates hundreds of after-class exercises and solutions; it also includes MATLAB programming and many new computer demonstration examples. The accompanying CD-ROM records the entire course content, including the book's exercises, experiments, examples, as well as demonstration programs and animations used in class, laboratory test tools, and solutions to after-class exercises. These materials provide a new intuitive approach beyond formula concepts, helping us better understand the principles and methods of signal processing. This book is written by the authors based on their nearly ten years of teaching and research achievements and can serve as a textbook for second-year undergraduate students in electrical and computer engineering at many universities. It is also suitable for scientists and engineers working in the fields of science and technology who are engaged in signal processing.