基本介紹
內容簡介
《國外電子與通信教材系列:數位訊號處理(第3版)(英文版)》可作為理工類大專院校電子、計算機、通信等專業的雙語課程教材，對於數位訊號處理領域的工程技術人員也有很好的參考價值。
作者簡介
作者:(美)Richard G. Lyons
圖書目錄
Chapter 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
1.5.1 Example of a Linear System
1.5.2 Example of a Nonlinear System
1.6 TIME-INVARIANT SYSTEMS
1.6.1 Example of a Time-Invariant System
1.7 THE COMMUTATIVE PROPERTY OF LINEAR TIME-INVARIANT SYSTEMS
1.8 ANALYZING LINEAR TIME-INVARIANT SYSTEMS
REFERENCES
CHAPTER 1 PROBLEMS
Chapter 2 Periodic Sampling
2.1 ALIASING: SIGNAL AMBIGUITY IN THE FREQUENCY DOMAIN
2.2 SAMPLING LOWPASS SIGNALS
2.3 SAMPLING BANDPASS SIGNALS
2.4 PRACTICAL ASPECTS OF BANDPASS SAMPLING
2.4.1 Spectral Inversion in Bandpass Sampling
2.4.2 Positioning Sampled Spectra at fs/4
2.4.3 Noise in Bandpass-Sampled Signals
REFERENCES
CHAPTER 2 PROBLEMS
CHAPTER 3 The Discrete Fourier Transform
3.1 UNDERSTANDING THE DFT EQUATION
3.1.1 DFT Example 1
3.2 DFT SYMMETRY
3.3 DPT LINEARITY
3.4 DFT MAGNITUDES
3.5 DFT FREQUENCY AXIS
3.6 DFT SHIFTING THEOREM
3.6.1 DFT Example 2
3.7 INVERSE DPT
3.8 DPT LEAKAGE
3.9 WINDOWS
3.10 DFT SCALLOPING LOSS
3.11 DFT RESOLUTION, ZERO PADDING, AND FREQUENCY-DOMAIN SAMPLING
3.12 DFT PROCESSING GAIN
3.12.1 Processing Gain of a Single DFT
3.12.2 Integration Gain Due to Averaging Multiple DFTs
3.13 THE DFT OF RECTANGULAR FUNCTIONS
3.13.1 DFT of a General Rectangular Function
3.13.2 DFT of a Symmetrical Rectangular Function
3.13.3 DFT of an All-Ones Rectangular Function
3.13.4 Time and Frequency Axes Associated with the DFT
3.13.5 Alternate Form of the DFT of an All-Ones Rectangular Function
3.14 INTERPRETING THE DFT USING THE DISCRETE-TIME FOURIER TRANSFORM
REFERENCES
CHAPTER 3 PROBLEMS
Chapter 4 The Fast Fourier Transform
4.1 RELATIONSHIP OF THE FFT TO THE DFT
4.2 HINTS ON USING FFTs IN PRACTICE
4.2.1 Sample Fast Enough and Long Enough
4.2.2 Manipulating the Time Data Prior to Transformation
4.2.3 Enhancing FFT Results
4.2.4 Interpreting FFT Results
4.3 DERIVATION OF THE RADIX-2 FFT ALGORITHM
4.4 FFT INPUT/OUTPUT DATA INDEX BIT REVERSAL
4.5 RADIX-2 FFT BUTTERFLY STRUCTURES
4.6 ALTERNATE SINGLE-BUTtERFLY STRUCTURES
REFERENCES
CHAPTER 4 PROBLEMS
Chapter 5 Finite Impulse Response Filters
5.1 AN INTRODUCTION TO FINITE IMPULSE RESPONSE (FIR) FILTERS
5.2 CONVOLUTION IN FIR FILTERS
5.3 LOWPASS FIR FILTER DESIGN
5.3.1 Window Design Method
5.3.2 Windows Used in FIR Filter Design
5.4 BANDPASS FIR FILTER DESIGN
5.5 HIGHPASS FIR FILTER DESIGN
5.6 PARKS-MCCLELLAN 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
5.9.1 Discrete Convolution in the Time Domain
5.9.2 The Convolution Theorem
5.9.3 Applying the Convolution Theorem
5.10 ANALYZING FIR FILTERS
5.10.1 Algebraic Analysis of FIR Filters
5.10.2 DFT Analysis of FIR Filters
5.10.3 FIR Filter Group Delay Revisited
5.10.4 FIR Filter Passband Gain
5.10.5 Estimating the Number of FIR Filter Taps
REFERENCES
CHAPTER 5 PROBLEMS
Chapter 6 Infinite Impulse Response Filters
6.1 AN INTRODUCTION TO INFINITE IMPULSE RESPONSE FILTERS
6.2 THE LAPLACE TRANSFORM
6.2.1 Poles and Zeros on the s-Plane and Stability
6.3 THE z -TRANSFORM
6.3.1 Poles, Zeros, and Digital Filter Stability
6.4 USING THE z -TRANSFORM TO ANALYZE IIR FILTERS
6.4.1 z -Domain IIR Filter Analysis
6.4.2 IIR Filter Analysis Example
6.5 USING POLES AND ZEROS TO ANALYZE IIR FILTERS
6.5.1 IIR Filter Transfer Function Algebra
6.5.2 Using Poles/Zeros to Obtain Transfer Functions
6.6 ALTERNATE IIR FILTER STRUCTURES
6.6.1 Direct Form I, Direct Form Ⅱ, and Transposed Structures
6.6.2 The Transposition Theorem
6.7 PITFALLS IN BUILDING IIR FILTERS
6.8 IMPROVING IIR FILTERS WITH CASCADED STRUCTURES
6.8.1 Cascade and Parallel Filter Properties
6.8.2 Cascading IIR Filters
6.9 SCALING THE GAIN OF IIR FILTERS
6.10 IMPULSE INVARIANCE IIR FILTER DESIGN METHOD
6.10.1 Impulse Invariance Design Method 1 Example
6.10.2 Impulse Invariance Design Method 2 Example
6.11 BILINEAR TRANSFORM IIR FILTER DESIGN METHOD
6.11.1 Bilinear Transform Design Example
6.12 OPTIMIZED IIR FILTER DESIGN METHOD
6.13 A BRIEF COMPARISON OF IIR AND FIR FILTERS
REFERENCES
CHAPTER 6 PROBLEMS
Chapter 7 Specialized Digital Networks and Filters
7.1 DIFFERENTIATORS
7.1.1 Simple Differentiators
7.1.2 Specialized Narrowband Differentiators
7.1.3 Wideband Differentiators
7.1.4 Optimized Wideband Differentiators
7.2 INTEGRATORS
7.2.1 Rectangular Rule Integrator
7.2.2 Trapezoidal Rule Integrator
7.2.3 Simpson's Rule Integrator
7.2.4 Tick's Rule Integrator
7.2.5 Integrator Performance Comparison
7.3 MATCHED FILTERS
7.3.1 Matched Filter Properties
7.3.2 Matched Filter Example
7.3.3 Matched Filter Implementation Considerations
7.4 INTERPOLATED LOWPASS FIR FILTERS
7.4.1 Choosing the Optimum Expansion Factor M
7.4.2 Estimating the Number of FIR Filter Taps
7.4.3 Modeling IFIR Filter Performance
7.4.4 IFIR Filter Implementation Issues
7.4.5 IFIR Filter Design Example
7.5 FREQUENCY SAMPLING FILTERS: THE LOST ART
7.5.1 Comb Filter and Complex Resonator in Cascade
7.5.2 Multisection Complex FSFs
7.5.3 Ensuring FSF Stability
7.5.4 Multisection Real-Valued FSFs
7.5.5 Linear-Phase Multisection Real-Valued FSFs
7.5.6 Where We've Been and Where We're Going with FSFs
7.5.7 An Efficient Real-Valued FSF
7.5.8 Modeling FSFs
7.5.9 Improving Performance with Transition Band Coefficients
7.5.10 Alternate FSF Structures
7.5.11 The Merits of FSFs
7.5.12 Type-IV FSF Example
7.5.13 When to Use an FSF
7.5.14 Designing FSFs
7.5.15 FSF Summary
REFERENCES
CHAPTER 7 PROBLEMS
Chapter 8 Quadrature Signals
8.1 WHY CARE ABOUT QUADRATURE SIGNALS?
8.2 THE NOTATION OF COMPLEX NUMBERS
8.3 REPRESENTING REAL SIGNALS USING COMPLEX PHASORS
8.4 A FEW THOUGHTS ON NEGATIVE FREQUENCY
8.5 QUADRATURE SIGNALS IN THE FREQUENCY DOMAIN
8.6 BANDPASS QUADRATURE SIGNALS IN THE FREQUENCY DOMAIN
8.7 COMPLEX DOWN-CONVERSION
8.8 A COMPLEX DOWN-CONVERSION EXAMPLE
8.9 AN ALTERNATE DOWN-CONVERSION METHOD
REFERENCES
CHAPTER 8 PROBLEMS
Chapter 9 The Discrete Hilbert Transform
9.1 HILBERT TRANSFORM DEFINITION
9.2 WHY CARE ABOUT THE HILBERT TRANSFORM?
9.3 IMPULSE RESPONSE OF A HILBERT TRANSFORMER
9.4 DESIGNING A DISCRETE HILBERT TRANSFORMER
9.4.1 Time-Domain Hilbert Transformation: FIR Filter Implementation
9.4.2 Frequency-Domain Hilbert Transformation
9.5 TIME-DOMAIN ANALYTIC SIGNAL GENERATION
9.6 COMPAR/NG ANALYTIC SIGNAL GENERATION METHODS
……
Chapter 10 Sample Rate Conversion
Chapter 11 Signal Averaging
Chapter 12 Digital Data Formats and Their Effects
Chapter 13 Digital Signal Processing Tricks
