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Digital Signal Processing using MATLAB®

By Robert J. Schilling, Sandra L. Harris

3rd Edition © 2017
Discipline:Engineering
Course:Electrical & Computer Engineering
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Digital Signal Processing using MATLAB®

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About this product

Digital Signal Processing using MATLAB®

BOOK'S READER-FRIENDLY, CONVERSATIONAL WRITING STYLE INVITES ENGAGEMENT FROM STUDENTS. The authors have purposely written this text using an engaging, informal style that motivates students to delve into each new topic with interest.

BROAD RANGE OF TOPICS PREPARES STUDENTS FOR VARIETY OF ON-THE-JOB CHALLENGES. This edition is specifically designed to provide a breadth of meaningful material and flexibility of content to accommodate courses of different lengths. For your convenience, the book is divided into three major parts: Signal and System Analysis, Digital Filter Design, and Advanced Signal Processing.

STRUCTURED CHAPTERS HIGHLIGHT KEY POINTS AND EMPHASIZE REAL WORLD APPLICATIONS. Each chapter starts with a Motivation section that highlights practical examples and challenges that professionals can solve using techniques covered in the chapter. Specially marked sections denote more advanced or specialized material that you have the flexibility to omit without loss of continuity. Each chapter concludes with a detailed case study example that uses the techniques introduced in the chapter. A generous selection of homework problems provide numerous options for practice.

DSP SOFTWARE CHAPTER GUI MODULES ALLOW STUDENTS TO EXPLORE AND MASTER DESIGN TOPICS. The chapter GUI modules feature a common user interface that is simple to use and easy to learn. These modules allow students to analyze design topics without requiring additional programming experience.

Table of contents

Chapters

Cover
Title
Statement
Copyright
Dedication
Preface
Contents
Margin Contents
Part 1: Signal and System Analysis
Part 2: Filter Design
Part 3: Advanced Signal Processing
References and Further Reading
Appendix 1: Transform Tables
Appendix 2: Mathematical Identities
Index
Show more

Part 1: Signal and System Analysis

Ch 1: Signal Processing
Preview this section ↗
Ch 1: Chapter Topics ↗
1.1: Motivation ↗
1.2: Signals and Systems ↗
1.3: Sampling of Continuous-time Signals ↗
1.4: Reconstruction of Continuous-time Signals ↗
1.5: Prefilters and Postfilters ↗
1.6: DAC and ADC Circuits ↗
1.7: DSP Companion ↗
1.8: GUI Modules and Case Studies ↗
1.9: Chapter Summary ↗
1.10: Problems ↗
Ch 2: Discrete-Time Systems in the Time Domain
Ch 2: Chapter Topics
2.1: Motivation
2.2: Discrete-Time Signals
2.3: Discrete-Time Systems
2.4: Difference Equations
2.5: Block Diagrams
2.6: The Impulse Response
2.7: Convolution
2.8: Correlation
2.9: Stability in the Time Domain
2.10: GUI Modules and Case Studies
2.11: Chapter Summary
2.12: Problems
Ch 3: Discrete-Time Systems in the Frequency Domain
Ch 3: Chapter Topics
3.1: Motivation
3.2: Z-Transform Pairs
3.3: Z-Transform Properties
3.4: Inverse Z-Transform
3.5: Transfer Functions
3.6: Signal Flow Graphs
3.7: Stability in the Frequency Domain
3.8: Frequency Response
3.9: System Identification
3.10: GUI Modules and Case Studies
3.11: Chapter Summary
3.12: Problems
Ch 4: Fourier Transforms and Spectral Analysis
Ch 4: Chapter Topics
4.1: Motivation
4.2: Discrete-Time Fourier Transform (DTFT)
4.3: Discrete Fourier Transform (DFT)
4.4: Fast Fourier Transform (FFT)
4.5: Fast Convolution and Correlation
4.6: White Noise
4.7: Auto-Correlation
4.8: Zero Padding and Spectral Resolution
4.9: The Spectrogram
4.10: Power Density Spectrum Estimation
4.11: GUI Modules and Case Studies
4.12: Chapter Summary
4.13: Problems

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