Digital Signal Processing: Fundamentals and Applications, 3rd Edition

Digital Signal Processing: Fundamentals and Applications By 作者: Lizhe Tan Ph.D. Electrical Engineering University of New Mexico – Jean Jiang Ph.D. Electrical Engineering University of New Mexico ISBN-10 书号: 0128150718 ISBN-13 书号: 9780128150719 Edition 版本: 3 Release Finelybook 出版日期: 2018-11-23 pages 页数: (920 ) $120 Digital Signal Processing: Fundamentals and Applications, Third Edition, not only introduces students to the fundamental principles of DSP, it also provides a working knowledge that they take with them into their engineering careers. Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts. As such, this title is also useful as a reference for non-engineering students and practicing engineers. The book goes beyond DSP theory, showing the implementation of algorithms in hardware and software. Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, µ-law, ADPCM, and multi-rate DSP, over-sampling ADC subband coding, and wavelet transform. Covers DSP principles with an emphasis on communications and control applications Includes chapter objectives, worked examples, and end-of-chapter exercises that aid the reader in grasping key concepts and solving related problems Provides an accompanying website with MATLAB programs for simulation and C programs for real-time DSP Presents new problems of varying types and difficulties Digital Signal Processing: Fundamentals and Applications Copyright Preface 1Introduction to Digital Signal Processing 2 Signal Sampling and Quantization 3Digital Signals and Systems 4Discrete Fourier Transform and Signal Spectrum 5 The z-Transform 6Digital Signal Processing Systems, Basic Filteri