Description

Book Synopsis
Fourier Transforms: Principles and Applications explains transform methods and their applications to electrical systems from circuits, antennas, and signal processorsably guiding readers from vector space concepts through the Discrete Fourier Transform (DFT), Fourier series, and Fourier transform to other related transform methods. Featuring chapter end summaries of key results, over two hundred examples and four hundred homework problems, and a Solutions Manual this book is perfect for graduate students in signal processing and communications as well as practicing engineers.
  • Class-tested at Dartmouth
  • Provides the same solid background as classic texts in the field, but with an emphasis on digital and other contemporary applications to signal and image processing
  • Modular coverage of material allows for topics to be covered by preference
  • MATLAB files and Solutions Manual available to instructors
  • Over 300 figures, 200 worked examples, a

    Trade Review

    “It is convenient that every chapter ends up with a summary of the results considered and a bunch of exercises. I hope the author's experience and expertise are what had inspired him to write this book of the present form, size and choice of matter. I also hope that it will find additional readers beyond the author's students.” (Zentralblatt MATH, 1 May 2015)



    Table of Contents
    PREFACE xi

    CHAPTER 1 REVIEW OF PREREQUISITE MATHEMATICS 1

    1.1 Common Notation 1

    1.2 Vectors in Space 3

    1.3 Complex Numbers 8

    1.4 Matrix Algebra 11

    1.5 Mappings and Functions 15

    1.6 Sinusoidal Functions 20

    1.7 Complex Exponentials 22

    1.8 Geometric Series 24

    1.9 Results from Calculus 25

    1.10 Top 10 Ways to Avoid Errors in Calculations 33

    Problems 33

    CHAPTER 2 VECTOR SPACES 36

    2.1 Signals and Vector Spaces 37

    2.2 Finite-dimensional Vector Spaces 39

    2.3 Infinite-dimensional Vector Spaces 64

    2.4 ⋆ Operators 86

    2.5 ⋆ Creating Orthonormal Bases–the Gram–Schmidt Process 94

    2.6 Summary 99

    Problems 101

    CHAPTER 3 THE DISCRETE FOURIER TRANSFORM 109

    3.1 Sinusoidal Sequences 109

    3.2 The Discrete Fourier Transform 114

    3.3 Interpreting the DFT 117

    3.4 DFT Properties and Theorems 126

    3.5 Fast Fourier Transform 152

    3.6 ⋆ Discrete Cosine Transform 156

    3.7 Summary 164

    Problems 165

    CHAPTER 4 THE FOURIER SERIES 177

    4.1 Sinusoids and Physical Systems 178

    4.2 Definitions and Interpretation 178

    4.3 Convergence of the Fourier Series 187

    4.4 Fourier Series Properties and Theorems 199

    4.5 The Heat Equation 215

    4.6 The Vibrating String 223

    4.7 Antenna Arrays 227

    4.8 Computing the Fourier Series 233

    4.9 Discrete Time Fourier Transform 238

    4.10 Summary 256

    Problems 259

    CHAPTER 5 THE FOURIER TRANSFORM 273

    5.1 From Fourier Series to Fourier Transform 274

    5.2 Basic Properties and Some Examples 276

    5.3 Fourier Transform Theorems 281

    5.4 Interpreting the Fourier Transform 299

    5.5 Convolution 300

    5.6 More about the Fourier Transform 310

    5.7 Time–bandwidth Relationships 318

    5.8 Computing the Fourier Transform 322

    5.9 ⋆ Time–frequency Transforms 336

    5.10 Summary 349

    Problems 351

    CHAPTER 6 GENERALIZED FUNCTIONS 367

    6.1 Impulsive Signals and Spectra 367

    6.2 The Delta Function in a Nutshell 371

    6.3 Generalized Functions 382

    6.4 Generalized Fourier Transform 404

    6.5 Sampling Theory and Fourier Series 414

    6.6 Unifying the Fourier Family 429

    6.7 Summary 433

    Problems 436

    CHAPTER 7 COMPLEX FUNCTION THEORY 454

    7.1 Complex Functions and Their Visualization 455

    7.2 Differentiation 460

    7.3 Analytic Functions 466

    7.4 exp z and Functions Derived from It 470

    7.5 Log z and Functions Derived from It 472

    7.6 Summary 489

    Problems 490

    CHAPTER 8 COMPLEX INTEGRATION 494

    8.1 Line Integrals in the Plane 494

    8.2 The Basic Complex Integral: ∫↺ Γ zndz 497

    8.3 Cauchy’s Integral Theorem 502

    8.4 Cauchy’s Integral Formula 512

    8.5 Laurent Series and Residues 520

    8.6 Using Contour Integration to Calculate Integrals of Real Functions 531

    8.7 Complex Integration and the Fourier Transform 543

    8.8 Summary 556

    Problems 557

    CHAPTER 9 LAPLACE, Z, AND HILBERT TRANSFORMS 563

    9.1 The Laplace Transform 563

    9.2 The Z Transform 607

    9.3 The Hilbert Transform 629

    9.4 Summary 652

    Problems 654

    CHAPTER 10 FOURIER TRANSFORMS IN TWO AND THREE DIMENSIONS 669

    10.1 Two-Dimensional Fourier Transform 669

    10.2 Fourier Transforms in Polar Coordinates 684

    10.3 Wave Propagation 696

    10.4 Image Formation and Processing 709

    10.5 Fourier Transform of a Lattice 722

    10.6 Discrete Multidimensional Fourier Transforms 731

    10.7 Summary 736

    Problems 737

    BIBLIOGRAPHY 743

    INDEX 747

Fourier Transforms

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    A Hardback by Eric W. Hansen

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      Publisher: John Wiley & Sons Inc
      Publication Date: 24/10/2014
      ISBN13: 9781118479148, 978-1118479148
      ISBN10: 1118479149
      Also in:
      Mathematics

      Description

      Book Synopsis
      Fourier Transforms: Principles and Applications explains transform methods and their applications to electrical systems from circuits, antennas, and signal processorsably guiding readers from vector space concepts through the Discrete Fourier Transform (DFT), Fourier series, and Fourier transform to other related transform methods. Featuring chapter end summaries of key results, over two hundred examples and four hundred homework problems, and a Solutions Manual this book is perfect for graduate students in signal processing and communications as well as practicing engineers.
      • Class-tested at Dartmouth
      • Provides the same solid background as classic texts in the field, but with an emphasis on digital and other contemporary applications to signal and image processing
      • Modular coverage of material allows for topics to be covered by preference
      • MATLAB files and Solutions Manual available to instructors
      • Over 300 figures, 200 worked examples, a

        Trade Review

        “It is convenient that every chapter ends up with a summary of the results considered and a bunch of exercises. I hope the author's experience and expertise are what had inspired him to write this book of the present form, size and choice of matter. I also hope that it will find additional readers beyond the author's students.” (Zentralblatt MATH, 1 May 2015)



        Table of Contents
        PREFACE xi

        CHAPTER 1 REVIEW OF PREREQUISITE MATHEMATICS 1

        1.1 Common Notation 1

        1.2 Vectors in Space 3

        1.3 Complex Numbers 8

        1.4 Matrix Algebra 11

        1.5 Mappings and Functions 15

        1.6 Sinusoidal Functions 20

        1.7 Complex Exponentials 22

        1.8 Geometric Series 24

        1.9 Results from Calculus 25

        1.10 Top 10 Ways to Avoid Errors in Calculations 33

        Problems 33

        CHAPTER 2 VECTOR SPACES 36

        2.1 Signals and Vector Spaces 37

        2.2 Finite-dimensional Vector Spaces 39

        2.3 Infinite-dimensional Vector Spaces 64

        2.4 ⋆ Operators 86

        2.5 ⋆ Creating Orthonormal Bases–the Gram–Schmidt Process 94

        2.6 Summary 99

        Problems 101

        CHAPTER 3 THE DISCRETE FOURIER TRANSFORM 109

        3.1 Sinusoidal Sequences 109

        3.2 The Discrete Fourier Transform 114

        3.3 Interpreting the DFT 117

        3.4 DFT Properties and Theorems 126

        3.5 Fast Fourier Transform 152

        3.6 ⋆ Discrete Cosine Transform 156

        3.7 Summary 164

        Problems 165

        CHAPTER 4 THE FOURIER SERIES 177

        4.1 Sinusoids and Physical Systems 178

        4.2 Definitions and Interpretation 178

        4.3 Convergence of the Fourier Series 187

        4.4 Fourier Series Properties and Theorems 199

        4.5 The Heat Equation 215

        4.6 The Vibrating String 223

        4.7 Antenna Arrays 227

        4.8 Computing the Fourier Series 233

        4.9 Discrete Time Fourier Transform 238

        4.10 Summary 256

        Problems 259

        CHAPTER 5 THE FOURIER TRANSFORM 273

        5.1 From Fourier Series to Fourier Transform 274

        5.2 Basic Properties and Some Examples 276

        5.3 Fourier Transform Theorems 281

        5.4 Interpreting the Fourier Transform 299

        5.5 Convolution 300

        5.6 More about the Fourier Transform 310

        5.7 Time–bandwidth Relationships 318

        5.8 Computing the Fourier Transform 322

        5.9 ⋆ Time–frequency Transforms 336

        5.10 Summary 349

        Problems 351

        CHAPTER 6 GENERALIZED FUNCTIONS 367

        6.1 Impulsive Signals and Spectra 367

        6.2 The Delta Function in a Nutshell 371

        6.3 Generalized Functions 382

        6.4 Generalized Fourier Transform 404

        6.5 Sampling Theory and Fourier Series 414

        6.6 Unifying the Fourier Family 429

        6.7 Summary 433

        Problems 436

        CHAPTER 7 COMPLEX FUNCTION THEORY 454

        7.1 Complex Functions and Their Visualization 455

        7.2 Differentiation 460

        7.3 Analytic Functions 466

        7.4 exp z and Functions Derived from It 470

        7.5 Log z and Functions Derived from It 472

        7.6 Summary 489

        Problems 490

        CHAPTER 8 COMPLEX INTEGRATION 494

        8.1 Line Integrals in the Plane 494

        8.2 The Basic Complex Integral: ∫↺ Γ zndz 497

        8.3 Cauchy’s Integral Theorem 502

        8.4 Cauchy’s Integral Formula 512

        8.5 Laurent Series and Residues 520

        8.6 Using Contour Integration to Calculate Integrals of Real Functions 531

        8.7 Complex Integration and the Fourier Transform 543

        8.8 Summary 556

        Problems 557

        CHAPTER 9 LAPLACE, Z, AND HILBERT TRANSFORMS 563

        9.1 The Laplace Transform 563

        9.2 The Z Transform 607

        9.3 The Hilbert Transform 629

        9.4 Summary 652

        Problems 654

        CHAPTER 10 FOURIER TRANSFORMS IN TWO AND THREE DIMENSIONS 669

        10.1 Two-Dimensional Fourier Transform 669

        10.2 Fourier Transforms in Polar Coordinates 684

        10.3 Wave Propagation 696

        10.4 Image Formation and Processing 709

        10.5 Fourier Transform of a Lattice 722

        10.6 Discrete Multidimensional Fourier Transforms 731

        10.7 Summary 736

        Problems 737

        BIBLIOGRAPHY 743

        INDEX 747

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