Two-Dimensional Digital Filters (eBook, PDF)
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Two-Dimensional Digital Filters (eBook, PDF)
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Presents basic theories, techniques, and procedures used to analyze, design, and implement two-dimensional filters; and surveys a number of applications in image and seismic data processing that demonstrate their use in real-world signal processing. For graduate students in electrical and computer e
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Presents basic theories, techniques, and procedures used to analyze, design, and implement two-dimensional filters; and surveys a number of applications in image and seismic data processing that demonstrate their use in real-world signal processing. For graduate students in electrical and computer e
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 416
- Erscheinungstermin: 11. August 2020
- Englisch
- ISBN-13: 9781000104561
- Artikelnr.: 59895256
- Verlag: Taylor & Francis
- Seitenzahl: 416
- Erscheinungstermin: 11. August 2020
- Englisch
- ISBN-13: 9781000104561
- Artikelnr.: 59895256
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
WU-SHENG Lu is Professor in the Department of Electrical and Computer Engineering, Univer¬sity of Victoria, British Columbia, Canada. He is a senior member of the Institute of Electrical and Electronics Engineers and is the author of two books and numerous book chapters and journal articles. Dr. Lu received the B.S. degree (1964) in mathematics from Fudan University, Shanghai, People's Republic of China, the M.E. degree (1981) in automation from the East China Normal University, Shanghai, and the M.S. degree (1983) in electrical engineering and the Ph.D. degree (1984) in control science, both from the University of Minnesota, Minneapolis. ANDREAS ANTONIOU is Professor in the Department of Electrical and Computer Engineering, University of Victoria, British Columbia, Canada. The author of one book and numerous papers and book chapters, he is a Fellow of the Institute of Electrical and Electronics Engineers and the Institution of Electrical Engineers and a member of the Association of Professional Engineers and Geoscientists of British Columbia and the Canadian Society for Electrical and Computer Engineer-ing. Dr. Antoniou received the B.Sc. (1963) and the Ph.D. (1966) degrees in electrical engineering from the University of London, England.
Preface
Introduction
Fundamentals
1.1 Introduction
1.2 2
D Discrete Signals
1.3 The 2
D Digital Filter as a System
1.4 Characterization
1.5 Representation in Terms of Flow Graphs and Networks
1.6 Introduction to Space
Domain Analysis
1.7 Stability
1.8 Realization
1.9 Multiple
Input
Multiple
Output Filters
1.10 Multidimensional Filters
Reference
Problems
2 State
Space Methods
2.1 Introduction
2.2 The Givone
Roesser Model
2.3 Space
Domain Analysis
2.4 Controllability and Observability
2.5 Realization
References
Problems
3 Transform Methods
3.1 Introduction
3.2 The 2
D z Transform
3.3 The 2
D Fourier Transform
3.4 The Sampling Process
References
Problems
4 The Application of the z Transform
4.1 Introduction
4.2 The Transfer Function
4.3 Stability
4.4 Space
Domain Analysis
4.5 Frequency
Domain Analysis
References
Problems
5 Stability Analysis
5.1 Introduction
5.2 Stability Analysis in Frequency Domain
5.3 Stability Analysis in State
Space Domain
5.4 2
D Lyapunov Stability Theory
5.5 Stability of Low
Order Filters
References
Problems
6 Approximations for Nonrecursive Filters
6.1 Introduction
6.2 Properties of 2
D Nonrecursive Filters
6.3 Design Based on Fourier Series
6.4 Design Based on Transformations
References
Problems
7 Approximations for Recursive Filters
7.1 Introduction
7.2 Transformations
7.3 Method of Hirano and Aggarwal
7.4 Design of Circularly Symmetric Filters
7.5 Constantinides Transformations
7.6 Design of Filters Satisfying Prescribed Specifications
References
Problems
8 Design of Recursive Filters by Optimization
8.1 Introduction
8.2 Design by Least pth Optimization
8.3 Minimax Method
8.4 Design Based on Two
Variable Network Theory
8.5 Design of Recursive Filters Using Singular
Value
Decomposition
References
Problems
9 Design of Nonrecursive Filters by Optimization
9.1 Introduction
9.2 Minimax Design of Linear
Phase Nonrecursive Filters
9.3 Design of Linear
Phase Nonrecursive Filters Using SVD
References
Problems
10 Realization
10.1 Introduction
10.2 Nonrecursive Realizations Based on the McClellan
Transformation
10.3 Nonrecursive Realizations Based on Matrix
Decompositions
10.4 Direct Realization of Recursive Filters
10.5 LUD Realization of Recursive Filters
10.6 Indirect Realization of Recursive Filters
References
Problems
11 Finite Wordlength Effects
11.1 Introduction
11.2 Quantization Errors and Their Computation
11.3 State
Space Structures with Minimized Roundoff Noise
11.4 Limit Cycles
References
Problems
12 Implementation
12.1 Introduction
12.2 2
D Discrete Fourier Transform
12.3 Computation of 2
D DFT
12.4 Systolic Implementation
References
Problems
13 Applications
13.1 Introduction
13.2 Applications of Linear 2
D Filters to Image
Enhancement
13.3 Image Restoration
13.4 Applications of Linear 2
D Fan Filters to Seismic. Signal
Processing
References
Problems
Index.
Introduction
Fundamentals
1.1 Introduction
1.2 2
D Discrete Signals
1.3 The 2
D Digital Filter as a System
1.4 Characterization
1.5 Representation in Terms of Flow Graphs and Networks
1.6 Introduction to Space
Domain Analysis
1.7 Stability
1.8 Realization
1.9 Multiple
Input
Multiple
Output Filters
1.10 Multidimensional Filters
Reference
Problems
2 State
Space Methods
2.1 Introduction
2.2 The Givone
Roesser Model
2.3 Space
Domain Analysis
2.4 Controllability and Observability
2.5 Realization
References
Problems
3 Transform Methods
3.1 Introduction
3.2 The 2
D z Transform
3.3 The 2
D Fourier Transform
3.4 The Sampling Process
References
Problems
4 The Application of the z Transform
4.1 Introduction
4.2 The Transfer Function
4.3 Stability
4.4 Space
Domain Analysis
4.5 Frequency
Domain Analysis
References
Problems
5 Stability Analysis
5.1 Introduction
5.2 Stability Analysis in Frequency Domain
5.3 Stability Analysis in State
Space Domain
5.4 2
D Lyapunov Stability Theory
5.5 Stability of Low
Order Filters
References
Problems
6 Approximations for Nonrecursive Filters
6.1 Introduction
6.2 Properties of 2
D Nonrecursive Filters
6.3 Design Based on Fourier Series
6.4 Design Based on Transformations
References
Problems
7 Approximations for Recursive Filters
7.1 Introduction
7.2 Transformations
7.3 Method of Hirano and Aggarwal
7.4 Design of Circularly Symmetric Filters
7.5 Constantinides Transformations
7.6 Design of Filters Satisfying Prescribed Specifications
References
Problems
8 Design of Recursive Filters by Optimization
8.1 Introduction
8.2 Design by Least pth Optimization
8.3 Minimax Method
8.4 Design Based on Two
Variable Network Theory
8.5 Design of Recursive Filters Using Singular
Value
Decomposition
References
Problems
9 Design of Nonrecursive Filters by Optimization
9.1 Introduction
9.2 Minimax Design of Linear
Phase Nonrecursive Filters
9.3 Design of Linear
Phase Nonrecursive Filters Using SVD
References
Problems
10 Realization
10.1 Introduction
10.2 Nonrecursive Realizations Based on the McClellan
Transformation
10.3 Nonrecursive Realizations Based on Matrix
Decompositions
10.4 Direct Realization of Recursive Filters
10.5 LUD Realization of Recursive Filters
10.6 Indirect Realization of Recursive Filters
References
Problems
11 Finite Wordlength Effects
11.1 Introduction
11.2 Quantization Errors and Their Computation
11.3 State
Space Structures with Minimized Roundoff Noise
11.4 Limit Cycles
References
Problems
12 Implementation
12.1 Introduction
12.2 2
D Discrete Fourier Transform
12.3 Computation of 2
D DFT
12.4 Systolic Implementation
References
Problems
13 Applications
13.1 Introduction
13.2 Applications of Linear 2
D Filters to Image
Enhancement
13.3 Image Restoration
13.4 Applications of Linear 2
D Fan Filters to Seismic. Signal
Processing
References
Problems
Index.
Preface
Introduction
Fundamentals
1.1 Introduction
1.2 2
D Discrete Signals
1.3 The 2
D Digital Filter as a System
1.4 Characterization
1.5 Representation in Terms of Flow Graphs and Networks
1.6 Introduction to Space
Domain Analysis
1.7 Stability
1.8 Realization
1.9 Multiple
Input
Multiple
Output Filters
1.10 Multidimensional Filters
Reference
Problems
2 State
Space Methods
2.1 Introduction
2.2 The Givone
Roesser Model
2.3 Space
Domain Analysis
2.4 Controllability and Observability
2.5 Realization
References
Problems
3 Transform Methods
3.1 Introduction
3.2 The 2
D z Transform
3.3 The 2
D Fourier Transform
3.4 The Sampling Process
References
Problems
4 The Application of the z Transform
4.1 Introduction
4.2 The Transfer Function
4.3 Stability
4.4 Space
Domain Analysis
4.5 Frequency
Domain Analysis
References
Problems
5 Stability Analysis
5.1 Introduction
5.2 Stability Analysis in Frequency Domain
5.3 Stability Analysis in State
Space Domain
5.4 2
D Lyapunov Stability Theory
5.5 Stability of Low
Order Filters
References
Problems
6 Approximations for Nonrecursive Filters
6.1 Introduction
6.2 Properties of 2
D Nonrecursive Filters
6.3 Design Based on Fourier Series
6.4 Design Based on Transformations
References
Problems
7 Approximations for Recursive Filters
7.1 Introduction
7.2 Transformations
7.3 Method of Hirano and Aggarwal
7.4 Design of Circularly Symmetric Filters
7.5 Constantinides Transformations
7.6 Design of Filters Satisfying Prescribed Specifications
References
Problems
8 Design of Recursive Filters by Optimization
8.1 Introduction
8.2 Design by Least pth Optimization
8.3 Minimax Method
8.4 Design Based on Two
Variable Network Theory
8.5 Design of Recursive Filters Using Singular
Value
Decomposition
References
Problems
9 Design of Nonrecursive Filters by Optimization
9.1 Introduction
9.2 Minimax Design of Linear
Phase Nonrecursive Filters
9.3 Design of Linear
Phase Nonrecursive Filters Using SVD
References
Problems
10 Realization
10.1 Introduction
10.2 Nonrecursive Realizations Based on the McClellan
Transformation
10.3 Nonrecursive Realizations Based on Matrix
Decompositions
10.4 Direct Realization of Recursive Filters
10.5 LUD Realization of Recursive Filters
10.6 Indirect Realization of Recursive Filters
References
Problems
11 Finite Wordlength Effects
11.1 Introduction
11.2 Quantization Errors and Their Computation
11.3 State
Space Structures with Minimized Roundoff Noise
11.4 Limit Cycles
References
Problems
12 Implementation
12.1 Introduction
12.2 2
D Discrete Fourier Transform
12.3 Computation of 2
D DFT
12.4 Systolic Implementation
References
Problems
13 Applications
13.1 Introduction
13.2 Applications of Linear 2
D Filters to Image
Enhancement
13.3 Image Restoration
13.4 Applications of Linear 2
D Fan Filters to Seismic. Signal
Processing
References
Problems
Index.
Introduction
Fundamentals
1.1 Introduction
1.2 2
D Discrete Signals
1.3 The 2
D Digital Filter as a System
1.4 Characterization
1.5 Representation in Terms of Flow Graphs and Networks
1.6 Introduction to Space
Domain Analysis
1.7 Stability
1.8 Realization
1.9 Multiple
Input
Multiple
Output Filters
1.10 Multidimensional Filters
Reference
Problems
2 State
Space Methods
2.1 Introduction
2.2 The Givone
Roesser Model
2.3 Space
Domain Analysis
2.4 Controllability and Observability
2.5 Realization
References
Problems
3 Transform Methods
3.1 Introduction
3.2 The 2
D z Transform
3.3 The 2
D Fourier Transform
3.4 The Sampling Process
References
Problems
4 The Application of the z Transform
4.1 Introduction
4.2 The Transfer Function
4.3 Stability
4.4 Space
Domain Analysis
4.5 Frequency
Domain Analysis
References
Problems
5 Stability Analysis
5.1 Introduction
5.2 Stability Analysis in Frequency Domain
5.3 Stability Analysis in State
Space Domain
5.4 2
D Lyapunov Stability Theory
5.5 Stability of Low
Order Filters
References
Problems
6 Approximations for Nonrecursive Filters
6.1 Introduction
6.2 Properties of 2
D Nonrecursive Filters
6.3 Design Based on Fourier Series
6.4 Design Based on Transformations
References
Problems
7 Approximations for Recursive Filters
7.1 Introduction
7.2 Transformations
7.3 Method of Hirano and Aggarwal
7.4 Design of Circularly Symmetric Filters
7.5 Constantinides Transformations
7.6 Design of Filters Satisfying Prescribed Specifications
References
Problems
8 Design of Recursive Filters by Optimization
8.1 Introduction
8.2 Design by Least pth Optimization
8.3 Minimax Method
8.4 Design Based on Two
Variable Network Theory
8.5 Design of Recursive Filters Using Singular
Value
Decomposition
References
Problems
9 Design of Nonrecursive Filters by Optimization
9.1 Introduction
9.2 Minimax Design of Linear
Phase Nonrecursive Filters
9.3 Design of Linear
Phase Nonrecursive Filters Using SVD
References
Problems
10 Realization
10.1 Introduction
10.2 Nonrecursive Realizations Based on the McClellan
Transformation
10.3 Nonrecursive Realizations Based on Matrix
Decompositions
10.4 Direct Realization of Recursive Filters
10.5 LUD Realization of Recursive Filters
10.6 Indirect Realization of Recursive Filters
References
Problems
11 Finite Wordlength Effects
11.1 Introduction
11.2 Quantization Errors and Their Computation
11.3 State
Space Structures with Minimized Roundoff Noise
11.4 Limit Cycles
References
Problems
12 Implementation
12.1 Introduction
12.2 2
D Discrete Fourier Transform
12.3 Computation of 2
D DFT
12.4 Systolic Implementation
References
Problems
13 Applications
13.1 Introduction
13.2 Applications of Linear 2
D Filters to Image
Enhancement
13.3 Image Restoration
13.4 Applications of Linear 2
D Fan Filters to Seismic. Signal
Processing
References
Problems
Index.