Digital signal processing : a primer with MATLAB® / Samir I. Abood.

Format:

Book

Author/Creator:

Abood, Samir I.

Language:

English

Subjects (All):

MATLAB.

Numerical analysis--Computer programs.

Numerical analysis.

Physical Description:

1 online resource (339 pages)

Edition:

1st ed.

Place of Publication:

Boca Raton, FL : CRC Press, 2020.

Summary:

Digital Signal Processing:A Primer with MATLAB provides excellent coverage of discrete-time signals and systems. At the beginning of each chapter, an abstract states the chapter objectives. Allprinciples are alsopresented in a lucid, logical, step-by-step approach. As much as possible, the authors avoid wordiness and detail overload that could hide concepts and impede understanding. In recognition of requirements by the Accreditation Board for Engineering and Technology (ABET) on integrating computer tools, the use of MATLAB is encouraged in a student-friendly manner.MATLAB is introduced in Appendix C and applied gradually throughout the book. Each illustrative example is immediately followed by practice problems along with its answer. Students can follow the example step-by-step to solve the practice problems without flipping pages or looking at the end of the book for answers. These practice problems test students' comprehension and reinforce key concepts before moving onto the next section. Toward the end of each chapter, the authors discuss some application aspects of the concepts covered in the chapter. The material covered in the chapter is applied to at least one or two practical problems. It helps students see how the concepts are used in real-life situations. Also, thoroughly worked examples are given liberally at the end of every section. These examples give students a solid grasp of the solutions as well as the confidence to solve similar problems themselves. Some of hte problems are solved in two or three ways tofacilitate a deeper understanding and comparison of different approaches. Designed for a three-hour semestercourse, Digital Signal Processing:A Primer with MATLAB is intended as a textbook for a senior-level undergraduate student in electrical and computer engineering. The prerequisites for a course based on this book are knowledge of standard mathematics, including calculus and complex numbers.

Contents:

Cover

Half Title

Title Page

Copyright Page

Dedication

Table of Contents

Preface

Acknowledgments

Author

1 Continuous and Discrete Signals

1.1 Continuous Signals

1.1.1 Generation of Continuous Signals in MATLAB

1.1.2 Operations on Signals and Sequences

1.2 Discrete-Time Signals

1.2.1 Complex Sequences

1.3 Signals and Systems

1.4 Classification of Signals and Systems

1.4.1 Continuous-Time and Discrete-Time Signals

1.4.2 Analog and Digital Signals

1.4.3 Deterministic and Random Signals

1.4.4 Periodic and Nonperiodic Signals

1.4.5 Power and Energy Signals

1.4.5.1 What Is Digital Signal Processing

1.4.5.2 Why DSP

1.4.5.3 Applications (DSP

1.5 Introduction to MATLAB in DSP

1.5.1 MATLAB Windows

1.5.2 Basic Commands in MATLAB

1.6 Some Fundamental Sequences

1.6.1 Impulse Response in MATLAB

1.6.2 Signal Duration

1.7 Generation of Discrete Signals in MATLAB

Problems

2 Signals Properties

2.1 Periodic and Aperiodic Sequences

2.2 Even and Odd Parts of a Signal (Symmetric Sequences

2.3 Signal Manipulations

2.3.1 Transformations of the Independent Variable

2.3.1.1 Shifting

2.3.1.2 Reversal

2.3.1.3 Time-Scaling

2.3.1.4 Addition, Multiplication, and Scaling

2.3.1.5 Addition

2.3.1.6 Multiplication

2.3.1.7 Scaling

2.3.1.8 Signal Decomposition

2.4 Discrete-Time Systems

2.4.1 System Properties

2.4.1.1 Memoryless System

2.4.1.2 Additivity

2.4.1.3 Homogeneity

2.4.1.4 Stability

2.5 Linear Time-Invariant Causal Systems (LTI

2.5.1 Linearity

2.5.2 Time-Invariance

2.5.3 Causality

2.6 Definitions

2.6.1 Continuous-Time System

2.6.2 Discrete-Time System

2.6.2.1 Delay Operator

2.6.2.2 Convolution Property

2.6.2.3 Impulse Function

2.6.2.4 Impulse Response

2.6.2.5 Frequency Response.

2.7 System Output

2.7.1 Causality

2.7.2 Stability

2.7.3 Invertibility

2.7.4 Memory

3 Convolution

3.1 Linear Convolution

3.2 Convolution Properties

3.2.1 Commutative Property

3.2.2 Associative Property

3.2.3 Distributive Property

3.3 Types of Convolutions

3.3.1 Equations Method

3.3.1.1 Convolution of Two Sequences in MATLAB

3.3.2 Graphical Method

3.3.3 Tabular Method

4 Difference Equations

4.1 Difference Equations and Impulse Responses

4.2 System Representation Using Its Impulse Response

4.3 The Methods That One May Use to Solve the Difference Equations

4.4 The Classical Approach

5 Discrete-Time Fourier Series (DTFS

5.1 DTFS Coefficients of Periodic Discrete Signals

5.2 Parseval's Relation

5.3 Discreet Fourier Series

6 Discrete-Time Fourier Transform (DTFT

6.1 Frequency Response

6.2 DTFT for Any Discrete Signal

6.3 Inverse DTFT

6.4 Interconnection of Systems

6.5 DTFT Properties

6.6 Applications of DTFT

6.7 LSI Systems and Difference Equations

6.8 Solving Difference Equations Using DTFT

6.9 Frequency Response in MATLAB

7 Discrete Fourier Transform (DFT

7.1 Method of Decimation-in-Frequency

7.2 Method of Decimation-in-Time

7.3 Properties of Discrete Fourier Transform

7.4 Discrete Fourier Transform of a Sequence in MATLAB

7.5 Linear Convolution Using the DFT

7.6 Generation of Inverse Discrete Fourier Transform in MATLAB

8 Fast Fourier Transform (FFT

8.1 Fast Fourier Transform Definition

8.1.1 Decimation-in-Time FFT

8.1.2 Decimation-in-Frequency FFT

8.2 Finding the FFT of Different Signals in MATLAB

8.3 Power Spectral Density Using Square Magnitude and Autocorrelation

8.3.1 Equivalence of FFT and N-phase Sequence Component Transformation.

Problems

9 Z-Transform

9.1 Z-Transform Representation

9.2 Region of Convergence (ROC

9.3 Properties of the z-transform

9.4 Inverse z-transform

9.4.1 Partial Fraction Expansion and a Look-up Table

9.4.2 Power Series

9.4.3 Contour Integration

10 Z-Transform Applications in DSP

10.1 Evaluation of LTI System Response Using Z-Transform

10.2 Digital System Implementation from Its Function

10.3 Pole-Zero Diagrams for a Function in the z-Domain

10.4 Frequency Response Using z-Transform

11 Pole-Zero Stability

11.1 Concept Poles and Zeros

11.1.1 Stability Determination Based z-Transform

11.1.2 The Z-Transform

11.1.3 The "z-Plane

11.2 Difference Equation and Transfer Function

11.3 BIBO Stability

11.4 The z-Plane Pole-Zero Plot and Stability

11.5 Stability Rules

12 Sampling

12.1 Relating the FT to the DTFT for Discrete-Time Signals

12.2 Sampling

12.3 Band-Limited Signals

12.4 Sampling of Continuous-Time Signals

12.5 Sampling Theorem

12.6 Band-Pass Sampling

12.7 Quantization

12.8 Uniform and Non-Uniform Quantization

12.9 Audio Sampling

12.10 Sampling Rate

13 Digital Filters

13.1 Types Of Filters

13.1.1 Low-Pass Filters

13.1.2 High-Pass Filters

13.1.3 Band-Pass Filters

13.1.4 Band-Stop Filters

13.2 Infinite-Impulse-Response (IIR) Digital Filter

13.2.1 Design of Filters Using Bilinear Transformation

13.2.2 Infinite-Impulse Response Filtering

13.2.3 Filter Characteristics

13.3 Finite Impulse Response (FIR) Digital Filter

13.3.1 The Advantages of FIR Filters

13.3.2 FIR Specifications

13.3.3 Gibbs Phenomenon and Different Windowing

13.4 Comparison of IIR and FIR Digital Filters

14 Implementation of IIR

14.1 Direction-Form I Realization.

14.2 Direction-Form II Realization

14.3 Cascade (Series) Realization

14.4 Parallel Realization

14.5 Transposed-Direct-Form-I

14.6 Transposed-Direct-Form-II

14.7 Implementation of a Notch Filter by MATLAB

14.8 Implementation of Infinite-Impulse Response Filters

14.8.1 Analog-to-Digital Filter Design

14.8.2 Bilinear Transformation

15 Implementation of FIR

15.1 Finite Impulse Response Filter Representation

15.2 Window Method

15.3 FIR-Filter Length Estimation Using Window Functions

16 Digital Filter Design

16.1 IIR Filter Design

16.1.1 Analog-Filter Design

16.1.2 Bilinear Transformation (IIR Digital Filter

16.1.3 Higher-Order IIR Digital Filters

16.1.4 IIR Digital High-Pass, Band-Pass, and Band-Stop Filter Design

16.1.5 Design a IIR Low-Pass Filter Using MATLAB

16.1.6 Design a IIR High-Pass Filter Using MATLAB

16.1.7 Design an IIR Band-Pass Filter Using MATLAB

16.2 FIR-Filter Design

16.2.1 Design of FIR Filters Using Windows

Selected Bibliography

Appendix A: Complex Numbers

Appendix B: Mathematical Formulas

Appendix C: MATLAB

Index.

Notes:

Description based on print version record.

ISBN:

1-00-301054-7

1-000-76575-X

1-003-01054-7

1-000-76557-1

9781003010548

OCLC:

1137806320