Solutions Manual to accompany Digital Signal Processing: A Computer Based Approach 3rd edition 9780073048376

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Product details:

  • ISBN-10 ‏ : ‎ 0070601097
  • ISBN-13 ‏ : ‎ 978-0070601093
  • Author:  Sanjit K. Mitka

Digital Signal Processing Suitable for a two-semester course on digital signal processing for seniors or first-year graduate students, this book introduces the tools used in the analysis and design of discrete-time systems for signal processing. It features the use of MATLAB-based examples illustrating the program’s capability to solve signal processing problems. Full description 

Table of contents:

Contents
Preface xiii
1 Signals and Signal Processing 1
1.1 Characterization and Classification of Signals 1
1.2 Typical Signal Processing Operations 3
1.3 Examples of Typical Signals 12
1.4 Typical Signal Processing Applications 22
1.5 Why Digital Signal Processing? 37
2 Discrete-Time Signals and Systems in the Time-Domain 41
2.1 Discrete-Time Signals 42
2.2 Typical Sequences and Sequence Representation 53
2.3 The Sampling Process 60
2.4 Discrete-Time Systems 63
2.5 Time-Domain Characterization of LTI Discrete-Time Systems 71
2.6 Finite-Dimensional LTI Discrete-Time Systems 80
2.7 Correlation of Signals 88
2.8 Random Signals 94
2.9 Summary 105
2.10 Problems 106
2.11 Matlab Exercises 115
3 Discrete-Time Signals in the Transform-Domain 117
3.1 The Discrete-Time Fourier Transform 117
3.2 The Discrete Fourier Transform 131
3.3 Relation between the DTFT and the DFT, and Their Inverses 137
3.4 Discrete Fourier Transform Properties 140
3.5 Computation of the DFT of Real Sequences 146
3.6 Linear Convolution Using the DFT 149
3.7 The z-Transform 155
3.8 Region of Convergence of a Rational z-Transform 159
3.9 Inverse z-Transform 167
3.10 z-Transform Properties 173
3.11 Transform-Domain Representations of Random Signals 176
3.12 Summary 179
3.13 Problems 180
3.14 Matlab Exercises 199
4 LTI Discrete-Time Systems in the Transform-Domain 203
4.1 Finite-Dimensional Discrete-Time Systems 203
4.2 The Frequency Response 204
4.3 The Transfer Function 215
4.4 Types of Transfer Functions 222
4.5 Simple Digital Filters 234
4.6 Allpass Transfer Function 243
4.7 Minimum-Phase and Maximum-Phase Transfer Functions 246
4.8 Complementary Transfer Functions 248
4.9 Inverse Systems 253
4.10 System Identification 256
4.11 Digital Two-Pairs 259
4.12 Algebraic Stability Test 261
4.13 Discrete-Time Processing of Random Signals 267
4.14 Matched Filter 272
4.15 Summary 275
4.16 Problems 277
4.17 Matlab Exercises 295
5 Digital Processing of Continuous-Time Signals 299
5.1 Introduction 299
5.2 Sampling of Continuous-Time Signals 300
5.3 Sampling of Bandpass Signals 310
5.4 Analog Lowpass Filter Design 313
5.5 Design of Analog Highpass, Bandpass, and Bandstop Filters 329
5.6 Anti-Aliasing Filter Design 335
5.7 Sample-and-Hold Circuit 337
5.8 Analog-to-Digital Converter 338
5.9 Digital-to-Analog Converter 344
5.10 Reconstruction Filter Design 348
5.11 Effect of Sample-and-Hold Operation 351
5.12 Summary 352
5.13 Problems 353
5.14 Matlab Exercises 356

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