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Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to master the essential fundamentals of DSP principles and practice. Many instructive worked examples are used to illustrate the material, and the use of mathematics is minimized for easier grasp of concepts.

As such, this title is also useful to undergraduates in electrical engineering, and as a reference for science students and practicing engineers. Der planer 3 patch 11 2. The book goes beyond DSP theory, to show 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, u-law, ADPCM, and multi-rate DSP and over-sampling ADC. New to this edition: • MATLAB projects dealing with practical applications added throughout the book • New chapter (chapter 13) covering sub-band 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 Key Features.

This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing.

Preface Chapter 1. Introduction to Digital Signal Processing Objectives 1.1 Basic Concepts of Digital Signal Processing 1.2 Basic Digital Signal Processing Examples in Block Diagrams 1.3 Overview of Typical Digital Signal Processing in Real-World Applications 1.4 Digital Signal Processing Applications 1.5 Summary Chapter 2. Signal Sampling and Quantization Objectives 2.1 Sampling of Continuous Signal 2.2 Signal Reconstruction 2.3 Analog-to-Digital Conversion, Digital-to-Analog Conversion, and Quantization 2.4 Summary 2.5 MATLAB Programs Chapter 3. Digital Signals and Systems Objectives 3.1 Digital Signals 3.2 Linear Time-Invariant, Causal Systems 3.3 Difference Equations and Impulse Responses 3.4 Bounded-In and Bounded-Out Stability 3.5 Digital Convolution 3.6 Summary Chapter 4. Discrete Fourier Transform and Signal Spectrum Objectives 4.1 Discrete Fourier Transform 4.2 Amplitude Spectrum and Power Spectrum 4.3 Spectral Estimation Using Window Functions 4.4 Application to Signal Spectral Estimation 4.5 Fast Fourier Transform 4.6 Summary Chapter 5. The z-Transform Objectives 5.1 Definition 5.2 Properties of the z-Transform 5.3 Inverse z-Transform 5.4 Solution of Difference Equations Using the z-Transform 5.5 Summary Chapter 6.

Digital Signal Processing Systems, Basic Filtering Types, and Digital Filter Realizations Objectives: 6.1 The Difference Equation and Digital Filtering 6.2 Difference Equation and Transfer Function 6.3 The z-Plane Pole-Zero Plot and Stability 6.4 Digital Filter Frequency Response 6.5 Basic Types of Filtering 6.6 Realization of Digital Filters 6.7 Application: Signal Enhancement and Filtering 6.8 Summary Chapter 7. Finite Impulse Response Filter Design Objectives: 7.1 Finite Impulse Response Filter Format 7.2 Fourier Transform Design 7.3 Window Method 7.4 Applications: Noise Reduction and Two-Band Digital Crossover 7.5 Frequency Sampling Design Method 7.6 Optimal Design Method 7.7 Realization Structures of Finite Impulse Response Filters 7.8 Coefficient Accuracy Effects on Finite Impulse Response Filters 7.9 Summary of FIR Design Procedures and Selection of FIR Filter Design Methods in Practice 7.10 Summary 7.11 MATLAB Programs Chapter 8. Lizhe Tan is a professor in the Department of Electrical and Computer Engineering at Purdue University Northwest. He received his Ph.D.