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Digital Filters : Analysis, Design, and Signal Processing Applications /

Up-to-date digital filter design principles, techniques, and applications. Written by a Life Fellow of the IEEE, this comprehensive textbook teaches digital filter design, realization, and implementation and provides detailed illustrations and real-world applications of digital filters to signal pro...

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Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Antoniou, Andreas (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	New York, N.Y. : McGraw-Hill Education, [2018].
Edición:	2nd edition.
Temas:	Electric filters, Digital. Signal processing > Digital techniques. Electronic books.
Acceso en línea:	Texto completo

Tabla de Contenidos:

Cover
Title Page
Copyright Page
Dedication
About the Author
Contents
Preface
1 Introduction to Digital Signal Processing
1.1 Introduction
1.2 Signals
1.3 Frequency-Domain Representation
1.4 Notation
1.5 Signal Processing
1.6 Analog Filters
1.7 Applications of Analog Filters
1.8 Digital Filters
1.9 Three DSP Applications
2 Discrete-Time Systems
2.1 Introduction
2.2 Basic System Properties
2.3 Characterization of Discrete-Time Systems
2.4 Discrete-Time System Networks
2.5 Introduction to Time-Domain Analysis
2.6 Convolution Summation
2.7 Stability
2.8 State-Space Representation
2.9 Problems
3 The Fourier Series and Transform
3.1 Introduction
3.2 Fourier Series
3.3 Fourier Transform
3.4 Interrelation between the Fourier Series and the Fourier Transform
3.5 Poisson?s Summation Formula
3.6 Laplace Transform
3.7 Problems
4 The Z Transform
4.1 Introduction
4.2 Definition of Z Transform
4.3 Convergence Properties
4.4 The Z Transform as a Laurent Series
4.5 Inverse Z Transform
4.6 Additional Theorems and Properties
4.7 Z Transforms of Elementary Discrete-Time Signals
4.8 Z-Transform Inversion Techniques
4.9 Spectral Representation of Discrete-Time Signals
4.10 Problems
5 Application of Transform Theory to Systems
5.1 Introduction
5.2 The Discrete-Time Transfer Function
5.3 Stability
5.4 Time-Domain Analysis
5.5 Frequency-Domain Analysis
5.6 Transfer Functions for Digital Filters
5.7 Amplitude and Delay Distortion
5.8 Continuous-Time Systems
5.9 Problems
6 The Sampling Process
6.1 Introduction
6.2 Impulse-Modulated Signals
6.3 The Sampling Theorem
6.4 Aliasing
6.5 Graphical Representation of Interrelations
6.6 Processing of Continuous-Time Signals Using Digital Filters
6.7 Practical A/D and D/A Converters
6.8 Problems
7 The Discrete Fourier Transform
7.1 Introduction
7.2 Definition
7.3 Inverse DFT
7.4 Properties
7.5 Interrelation between the DFT and the Z Transform
7.6 Interrelation between the DFT and the CFT
7.7 Interrelation between the DFT and the Fourier Series
7.8 Simplified Notation
7.9 Periodic Convolutions
7.10 Fast Fourier-Transform Algorithms
7.11 Application of the FFT Approach to Signal Processing
7.12 Problems
8 The Window Technique
8.1 Introduction
8.2 Basic Principles
8.3 Discrete-Time Windows
8.4 Problems
9 Realization of Digital Filters
9.1 Introduction
9.2 Realization
9.3 Implementation
9.4 Problems
10 Design of Nonrecursive Filters
10.1 Introduction
10.2 Properties of Constant-Delay Nonrecursive Filters
10.3 Design Using the Fourier Series
10.4 Use of Window Technique
10.5 Prescribed Filter Specifications
10.6 Design Based on Numerical-Analysis Formulas
10.7 Problems
11 Approximations for Analog Filters
11.1 Introduction
11.2 Basic Concepts
11.3 Butterworth Approximation
11.4 Chebyshev Approximation
11.5 Inverse-Chebyshev Approximation
11.6 Elliptic Approximation
11.7 Bessel-Thomson Approximation
11.8 Transformations
11.9 Problems
12 Design of Recursive Filters
12.1 Introduction
12.2 Realizability Constraints.
12.3 Invariant Impulse-Response Method
12.4 Modified Invariant Impulse-Response Method
12.5 Matched-Z Transformation Method
12.6 Bilinear-Transformation Method
12.7 Digital-Filter Transformations
12.8 Comparison between Recursive and Nonrecursive Designs
12.9 Problems
13 Recursive Filters Satisfying Prescribed Specifications
13.1 Introduction
13.2 Design Procedure
13.3 Design Formulas
13.4 Design Using the Formulas and Tables
13.5 Constant Group Delay
13.6 Amplitude-Response Equalization
13.7 Problems
14 Effects of Finite Word Length in Digital Filters
14.1 Introduction
14.2 Number Representation
14.3 Coefficient Quantization
14.4 Low-Sensitivity Structures
14.5 Product Quantization
14.6 Signal Scaling
14.7 Minimization of Output Roundoff Noise
14.8 Limit-Cycle Oscillations
14.9 Problems
15 Design of Nonrecursive Filters Using Optimization Methods
15.1 Introduction
15.2 Problem Formulation
15.3 Remez Exchange Algorithm
15.4 Improved Search Methods
15.5 Efficient Remez Exchange Algorithm
15.6 Gradient Information
15.7 Prescribed Specifications
15.8 Generalization
15.9 Digital Differentiators
15.10 Arbitrary Amplitude Responses
15.11 Multiband Filters
15.12 Problems
16 Design of Recursive Filters Using Unconstrained Optimization
16.1 Introduction
16.2 Problem Formulation
16.3 Newton?s Method
16.4 Quasi-Newton Algorithms
16.5 Minimax Algorithms
16.6 Improved Minimax Algorithms
16.7 Design of Recursive Filters
16.8 Design of Recursive Delay Equalizers
16.9 Problems
17 Design of Recursive Filters Using Constrained Optimization
17.1 Introduction
17.2 Design Problem
17.3 Constrained Optimization Problem
17.4 Design Procedure
17.5 Alternative Initialization Approaches
17.6 Comparison of Recursive versus Nonrecursive Digital Filters
17.7 Problems
18 Wave Digital Filters
18.1 Introduction
18.2 Sensitivity Considerations
18.3 Wave Network Characterization
18.4 Element Realizations
18.5 Lattice Wave Digital Filters
18.6 Ladder Wave Digital Filters
18.7 Filters Satisfying Prescribed Specifications
18.8 Frequency-Domain Analysis
18.9 Scaling
18.10 Elimination of Limit-Cycle Oscillations
18.11 Related Synthesis Methods
18.12 A Cascade Synthesis Based on the Wave Characterization
18.13 Choice of Structure
18.14 Problems
19 Signal Processing Applications
19.1 Introduction
19.2 Sampling-Frequency Conversion
19.3 Quadrature-Mirror-Image Filter Banks
19.4 Hilbert Transformers
19.5 Two-Dimensional Digital Filters
19.6 Adaptive Digital Filters
19.7 Problems
Appendix: Complex Analysis
A.1 Introduction
A.2 Complex Numbers
A.3 Functions of a Complex Variable
A.4 Basic Principles of Complex Analysis
A.5 Series
A.6 Laurent Theorem
A.7 Residue Theorem
A.8 Analytic Continuation
A.9 Conformal Transformations
References
Index
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
Z.

Digital Filters : Analysis, Design, and Signal Processing Applications /

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