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数字信号处理（英文本）
作者：Richard G.Lyons著
出版社：科学出版社
出版时间：2003-03-01
ISBN：9787030111500
定价：¥44.00
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内容简介
本书为国外高校电子信息类优秀教材（英文影印版）之一。本书通过直观的解释和精选的例子，为读者提供了理解数字信号处理（DSP）理论的工具。通过对重要的DSP方程的解释，涵盖了数学上的要点，帮助读者从整体上掌握DSP的基础，并逐步掌握较高层次的DSP概念和应用。本书可作为电子工程、通信专业本科生教材，也可作为相关领域工程技术人员的参考书。
作者简介
暂缺《数字信号处理（英文本）》作者简介
目录
Preface
1 DISCRETE SEQUENCES AND SYSTEMS
1.1 Discrete Sequences and Their Notation
1.2 Signal Amplitude, Magnitude, Power
1.3 Signal Processing Operational Symbols
1.4 Introduction to Discrete Linear Time-Invariant Systems
1.5 Discrete Linear Systems
1.6 Time-Invariant Systems
1.7 The Commutative Property of Linear Thne-Invariant Systems
1.8 Analyzing Linear Time-Invariant Systems
2 PERIODIC SAMPLING
2.1 Aliasing: Signal Ambiquity in the Frequency Domain
2.2 Sampling Low-Pass Signals
2.3 Sampling Bandpass Signals
2.4 Spectral Inversion in Bandpass Sampling
3 THE DISCRETE FOURIER TRANSFORM
3.1 Understanding the DFT Equation
3.2 DFT Symmetry
3.3 DFT Linearity
3.4 DFT Magnitudes
3.5 DFT Frequency Axis
3.6 DFT Shifting Theorem
3.7 Inverse DFT
3.8 DFT Leakage
3.9 Windows
3.10 DFT Scalloping Loss
3.11 DFT Resolution, Zero Stuffing, and Frequency-Domain
Sampling
3.12 DFT Processing Gain
3.13 The DFT of Rectangular Functions
3.14 The DFT Frequency Response to a Complex Input
3.15 The DFT Frequency Response to a Real Cosine Input
3.16 The DFT Single-Bin Frequency Response to a Real
Cosine Input
4 THE FAST FOURIER TRANSFORM
4.1 Relationship of the FFT to the DFT
4.2 Hints on Using FFTs in Practice
4.3 FFT Software Programs
4.4 Derivation of the Radix-2 FFT Algorithm
4.5 FFT Input/Output Data Index Bit Reversal
4.6 Radix-2 FFT Butterfly Structures
5 FINITE IMPULSE RESPONSE FILTERS
5.1 An Introduction to Finite Impulse Response FIR Filters
5.2 Convolution in FIR Filters
5.3 Low-Pass FIR Filter Design
5.4 Bandpass FIR Filter Design
5.5 Highpass FIR Filter Design
5.6 Remez Exchange FIR Filter Design Method
5.7 Half-Band FIR Filters
5.8 Phase Response of FIR Filters
5.9 A Generic Description of Discrete Convolution
6 INFINITE IMPULSE RESPONSE FILTERS
6.1 An Introduction to Infinite Impulse Response Filters
6.2 The Laplace Transform
6.3 The z-Transform
6.4 Impulse Invariance HR Filter Design Method
6.5 Bilinear Transform UR Filter Design Method
6.6 Optimized HR Filter Design Method
6.7 Pitfalls in Building ILR Digital Filters
6.8 Cascade and Parallel Combinations of Digital Filters
6.9 A Brief Comparison of UR and FIR Filters
7 ADVANCED SAMPLING TECHNIQUES
7.1 Quadrature Sampling
7.2 Quadrature Sampling with Digital Mixing
7.3 Digital Resampling
8 SIGNAL AVERAGING
8.1 Coherent Averaging
8.2 Incoherent Averaging
8.3 Averaging Multiple Fast Fourier Transforms
8.4 Filtering Aspects of Tune-Domain Averaging
8.5 Exponential Averaging
9 DIGITAL DATA FORMATS AND THEIR EFFECTS
9.1 Fixed-Point Binary Formats
9.2 Binary Number Precision and Dynamic Range
9.3 Effects of Finite Fixed-Point Binary Word Length
9.4 Floating-Point Binary Formats
9.5 Block Floating-Point Binary Format
10 DIGITAL SIGNAL PROCESSING TRICKS
10.1 Frequency Translation without Multiplication
10.2 High-Speed Vector-Magnitude Approximation
10.3 Data Windowing Tricks
10.4 Fast Multiplication of Complex Numbers
10.5 Efficiently Performing the FFT of Real Sequences
10.6 Calculating the Inverse FFT Using the Forward FFT
10.7 Fast FFT Averaging
10.8 Simplified FIR Filter Structure
10.9 Accurate A/D Converter Testing Technique
10.10 Fast FIR Filtering Using the FFT
10.11 Calculation of Sines and Cosines of Consecutive Angles
10.12 Generating Normally Distributed Random Data
APPENDIX A. THE ARITHMETIC OF COMPLEX NUMBERS
A.1 Graphical Representation of Real and Complex Numbers
A.2 Arithmetic Representation of Complex Numbers
A.3 Arithmetic Operations of Complex Numbers
A.4 Some Practical Implications of Using Complex Numbers
APPENDIX B. CLOSED FORM OF A GEOMETRIC SERIES
APPENDIX C. COMPLEX SIGNALS AND NEGATIVE FREQUENCY
C.1 Development of Imaginary Numbers
C.2 Representing Real Signals Using Complex Phasors
C.3 Representing Real Signals Using Negative Frequencies
C.4 Complex Signals and Quadrature Mixing
APPENDIX D. MEAN, VARIANCE, AND STANDARD DEVIATION
D.1 Statistical Measures
D.2 Standard Deviation, or RMS, of a Continuous Sinewave
D.3 The Mean and Variance of Random Functions
D.4 The Normal Probability Density Function
APPENDIX E. DECIBELS (dB AND dBm)
E.1 Using Logarithms to Determine Relative Signal Power
E.2 Some Useful Decibel Numbers
E.3 Absolute Power Using Decibels
APPENDIX F. DIGITAL FILTER TERMINOLOGY
Index
1 DISCRETE SEQUENCES AND SYSTEMS
1.1 Discrete Sequences and Their Notation
1.2 Signal Amplitude, Magnitude, Power
1.3 Signal Processing Operational Symbols
1.4 Introduction to Discrete Linear Time-Invariant Systems
1.5 Discrete Linear Systems
1.6 Time-Invariant Systems
1.7 The Commutative Property of Linear Thne-Invariant Systems
1.8 Analyzing Linear Time-Invariant Systems
2 PERIODIC SAMPLING
2.1 Aliasing: Signal Ambiquity in the Frequency Domain
2.2 Sampling Low-Pass Signals
2.3 Sampling Bandpass Signals
2.4 Spectral Inversion in Bandpass Sampling
3 THE DISCRETE FOURIER TRANSFORM
3.1 Understanding the DFT Equation
3.2 DFT Symmetry
3.3 DFT Linearity
3.4 DFT Magnitudes
3.5 DFT Frequency Axis
3.6 DFT Shifting Theorem
3.7 Inverse DFT
3.8 DFT Leakage
3.9 Windows
3.10 DFT Scalloping Loss
3.11 DFT Resolution, Zero Stuffing, and Frequency-Domain
Sampling
3.12 DFT Processing Gain
3.13 The DFT of Rectangular Functions
3.14 The DFT Frequency Response to a Complex Input
3.15 The DFT Frequency Response to a Real Cosine Input
3.16 The DFT Single-Bin Frequency Response to a Real
Cosine Input
4 THE FAST FOURIER TRANSFORM
4.1 Relationship of the FFT to the DFT
4.2 Hints on Using FFTs in Practice
4.3 FFT Software Programs
4.4 Derivation of the Radix-2 FFT Algorithm
4.5 FFT Input/Output Data Index Bit Reversal
4.6 Radix-2 FFT Butterfly Structures
5 FINITE IMPULSE RESPONSE FILTERS
5.1 An Introduction to Finite Impulse Response FIR Filters
5.2 Convolution in FIR Filters
5.3 Low-Pass FIR Filter Design
5.4 Bandpass FIR Filter Design
5.5 Highpass FIR Filter Design
5.6 Remez Exchange FIR Filter Design Method
5.7 Half-Band FIR Filters
5.8 Phase Response of FIR Filters
5.9 A Generic Description of Discrete Convolution
6 INFINITE IMPULSE RESPONSE FILTERS
6.1 An Introduction to Infinite Impulse Response Filters
6.2 The Laplace Transform
6.3 The z-Transform
6.4 Impulse Invariance HR Filter Design Method
6.5 Bilinear Transform UR Filter Design Method
6.6 Optimized HR Filter Design Method
6.7 Pitfalls in Building ILR Digital Filters
6.8 Cascade and Parallel Combinations of Digital Filters
6.9 A Brief Comparison of UR and FIR Filters
7 ADVANCED SAMPLING TECHNIQUES
7.1 Quadrature Sampling
7.2 Quadrature Sampling with Digital Mixing
7.3 Digital Resampling
8 SIGNAL AVERAGING
8.1 Coherent Averaging
8.2 Incoherent Averaging
8.3 Averaging Multiple Fast Fourier Transforms
8.4 Filtering Aspects of Tune-Domain Averaging
8.5 Exponential Averaging
9 DIGITAL DATA FORMATS AND THEIR EFFECTS
9.1 Fixed-Point Binary Formats
9.2 Binary Number Precision and Dynamic Range
9.3 Effects of Finite Fixed-Point Binary Word Length
9.4 Floating-Point Binary Formats
9.5 Block Floating-Point Binary Format
10 DIGITAL SIGNAL PROCESSING TRICKS
10.1 Frequency Translation without Multiplication
10.2 High-Speed Vector-Magnitude Approximation
10.3 Data Windowing Tricks
10.4 Fast Multiplication of Complex Numbers
10.5 Efficiently Performing the FFT of Real Sequences
10.6 Calculating the Inverse FFT Using the Forward FFT
10.7 Fast FFT Averaging
10.8 Simplified FIR Filter Structure
10.9 Accurate A/D Converter Testing Technique
10.10 Fast FIR Filtering Using the FFT
10.11 Calculation of Sines and Cosines of Consecutive Angles
10.12 Generating Normally Distributed Random Data
APPENDIX A. THE ARITHMETIC OF COMPLEX NUMBERS
A.1 Graphical Representation of Real and Complex Numbers
A.2 Arithmetic Representation of Complex Numbers
A.3 Arithmetic Operations of Complex Numbers
A.4 Some Practical Implications of Using Complex Numbers
APPENDIX B. CLOSED FORM OF A GEOMETRIC SERIES
APPENDIX C. COMPLEX SIGNALS AND NEGATIVE FREQUENCY
C.1 Development of Imaginary Numbers
C.2 Representing Real Signals Using Complex Phasors
C.3 Representing Real Signals Using Negative Frequencies
C.4 Complex Signals and Quadrature Mixing
APPENDIX D. MEAN, VARIANCE, AND STANDARD DEVIATION
D.1 Statistical Measures
D.2 Standard Deviation, or RMS, of a Continuous Sinewave
D.3 The Mean and Variance of Random Functions
D.4 The Normal Probability Density Function
APPENDIX E. DECIBELS (dB AND dBm)
E.1 Using Logarithms to Determine Relative Signal Power
E.2 Some Useful Decibel Numbers
E.3 Absolute Power Using Decibels
APPENDIX F. DIGITAL FILTER TERMINOLOGY
Index
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