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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
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 Filtering Types, and Digital Filter Realizations
7 Finite Impulse Response Filter Design
8 Infinite Impulse Response Filter Design
9 Adaptive Filters and Applications
10 Waveform Quantization and Compression
11 Multirate Digital Signal Processing, Oversampling of Analog-to-Digital Conversion, and Undersampling of Bandp..…
12 Subband and Wavelet-Based Coding
13 lmage Processing Basics
14Hardware and Software for Digital Signal Processors
Appendix A: Introduction to the Matlab Environment
Appendix B: Review of Analog Signal Processing Basics
Appendix C: Normalized Butterworth and Chebyshev Functions
Appendix D: Sinusoidal Steady-State Response of Digital Filters
Appendix E: Finite Impulse Response Filter Design Equations by Frequency Sampling Design Method
Appendix F: Wavelet Analysis and Synthesis Equations
Appendix G: Review of Discrete-Time Random Signals
Appendix H: Some Useful Mathematical Formulas
Answers to Selected Problems
References
Index
Back Cover
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