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Digital Signal Processing, 2nd Edition

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Digital Signal Processing, 2nd Edition - Free Download eBook

Book Details 
Hardcover: 896 pages
Publisher: Academic Press; 2 edition (February 22, 2013)
Language: English
ISBN-10: 0124158935
ISBN-13: 978-0124158931
File Size: 16.2 Mb | File Format: PDF

Book Description

This textbook presents digital signal processing (DSP) principles, applications, and hardware implementation issues, emphasizing achievable results and conclusions through the presentation of numerous worked examples, while reducing the use of mathematics for an easier grasp of the concepts.

This text gives students in electronics, computer engineering and bioengineering an understanding of essential DSP principles and implementation, demonstrating how the subject is fundamental to engineering as practiced today.

  • Covers DSP principles with emphasis on applications to communications and control.
  • Discusses implementation of DSP algorithms in hardware and software
  • Chapter Objectives, worked examples, and end of chapter exercises aid the reader in grasping key concepts and solving related problems
  • Website with MATLAB programs for simulation and C programs for real-time DSP

New to this Edition:

  • MATLAB projects dealing with practical applications added throughout the book
  • New chapter (chapter 13) covering subband coding and wavelet transforms, methods that have become popular in the  DSP field
  • New applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signals
  • All real-time C programs revised for the TMS320C6713 DSK

Table of Contents

Chapter 1 – Introduction to Digital Signal Processing
Chapter 2 – Signal Sampling and Quantization
Chapter 3 – Digital Signals and Systems
Chapter 4 – Discrete Fourier Transform and Signal Spectrum
Chapter 5 – The z-Transform
Chapter 6 – Digital Signal Processing Systems, Basic Filtering Types, and Digital Filter Realizations
Chapter 7 – Finite Impulse Response Filter Design
Chapter 8 – Infinite Impulse Response Filter Design
Chapter 9 – Hardware and Software for Digital Signal Processors
Chapter 10 – Adaptive Filters and Applications
Chapter 11 – Waveform Quantization and Compression
Chapter 12 – Multirate Digital Signal Processing, Oversampling of Analog-to-Digital Conversion, and Undersampling of Bandpa …
Chapter 13 – Subband- and Wavelet-Based Coding
Chapter 14 – Image Processing Basics

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 the Frequency Sampling Design Method
Appendix F: Wavelet Analysis and Synthesis Equations
Appendix G: Some Useful Mathematical Formulas

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