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Optical Signal Processing
- 1st Edition - January 1, 1987
- Editor: Joseph Horner
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 4 1 4 2 0 6 - 0
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 1 4 5 2 2 - 0
Optical Signal Processing is a collection of synopses of the works of many experts in the different fields of optical signal processing. The book also includes systems or… Read more
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Request a sales quoteOptical Signal Processing is a collection of synopses of the works of many experts in the different fields of optical signal processing. The book also includes systems or algorithms that have been successfully tried and used. The monograph is divided into seven parts. Part I discusses color image processing and white-light Fourier transformations, while Part II covers topics related to pattern recognition such as optical feature extraction and unconventional correlators. Part III deals with temporal signal processing and its related optical architectures, acoustooptic synthetic aperture radar processors, and acoustooptic signal processors. Part IV tackles nonlinear optical processors and waveguide devices. Part V discusses optical and tomographic transformation. Part VI deals with optical numeric processing, optical linear algebra processors, and related algorithm and software. Part VII talks about devices and components and their applications such as fiber-optic delay-line signal processors and spatial light modulators. The text is recommended for engineers and scientists in the field of optical signal processing, especially those who would like to know more of its advancements.
List of Contributors
Preface
I. White-Light Processors
1.1 Color Image Processing
I. Introduction
II. White-Light Optical Processing
III. Source Encoding and Image Sampling
IV. Color Image Processing
V. Concluding Remarks
References
1.2 White-Light Fourier Transformations
I. Introduction
II. Linear System Formalism
III. Achromatic Fourier Transform Systems
IV. Design of an Achromatic Fourier Processor
V. Summary
References
II. Pattern Recognition
2.1 Optical Feature Extraction
I. Introduction
II. Optical Feature Extraction
III. Fourier-Transform Feature Space and Unique Sampling
IV. Hough-Transform Feature Space
V. Space-Variant Feature Space and Optical Feature Extraction
VI. Chord-Distribution Feature Space and Parameter Estimation
VII. Moment Feature Space and Unique Properties
VIII. Summary and Conclusion
References
2.2 Unconventional Correlators
I. Introduction
II. Definitions and Theorems
III. Optical Correlation Systems
IV. Summary and Outlook
References
2.3 Optical Implementation of Associative Memory Based on Models of Neural Networks
I. Introduction
II. Linear Systems as Association Memories
III. Optoelectronic Implementation of One-Dimensional Neural Nets
IV. Optoelectronic Implementation of Two-Dimensional Neural Nets
V. Holographic Associative Memories
VI. Conclusion
References
III. Temporal Signal Processing
3.1 Optical Architectures for Temporal Signal Processing
I. Introduction
II. Basic Operations
III. Spectrum Analysis of Continuous Functions
IV. Time-Frequency Analysis
V. Discrete Operations
VI. Summary
References
3.2 Acoustooptic Synthetic Aperture Radar Processors
I. Introduction
II. Synthetic Aperture Radar
III. Acoustooptic Processor
IV. Programmable Architecture
V. Conclusions
References
3.3 Acoustooptic Signal Processors
I. Introduction
II. Acoustooptic Processor Components
III. Power Spectrum Analyzers
IV. Interferometric Spectrum Analyzer
V. Correlators
VI. Summary
References
IV. Nonlinear Optical Processors
4.1 Nonlinear Optical Waveguide Devices
I. Introduction
II. Scalar Wave Equation for Mode Analysis
III. Perturbational Formula for Change of Dielectric Tensor
IV. Coherent Coupling between Modes in a Nonlinear Optical Waveguide
V. All-Optical Interferometer
VI. Nonlinear Waveguide Coupler
VII. Nonlinear Waveguide Materials, Devices, and Design Considerations
References
V. Transformations
5.1 Optical Transformations
I. Introduction
II. Geometric Transformations
III. Transdimensional Transformations
IV. Linear Shift-Variant Transformations
V. Nonlinear Transformations
VI. Conclusions
References
5.2 Tomographic Transformations in Optical Signal Processing
I. Introduction and Definitions
II. Applications
III. Summary and Conclusions
References
VI. Optical Numerical Processing
6.1 Optical Linear Algebra Processors
II. Generic OLAP Architecture and Its Component Evaluation
III. Basic OLAP Architectures
IV. Iterative Algorithm for Solving Linear Algebraic Equations
V. Optical Matrix Decomposition Techniques
VI. Error Sources and Modeling
VII. Number Representation
VIII. Two System Case Studies
IX. Applications
X. Summary and Discussion
References
6.2 Algorithms and Software
I. Perspectives
II. Linear Analog Processor Algorithms
III. Nonlinear Mathematics
IV. Hybrid Processors
V. Digital Processors
VI. General-Purpose Optical Computers
VII. Fault Tolerance
VIII. Partitioning
IX. Conclusion
References
VII. Devices and Components with Applications
7.1 Fiber-Optic Delay-Line Signal Processors
I. Introduction
II. Optical Fiber Characteristics
III. Fiber-Optic Delay-Line Processors
IV. Coherent Fiber-Optic Delay-Line Signal Processing
V. Applications
VI. Summary and Future Directions
References
7.2 Spatial Light Modulators: Applications and Functional Capabilities
I. Introduction
II. Basic SLM Structures
III. SLM Applications
IV. Architectural Considerations of Optical Processors
V. Fundamental Operations Performed by SLMs
VI. Performance Limitations of Electrooptic SLMs
VII. Specific SLM Structures
VIII. Concluding Remarks
References
7.3 Optical Feedback Processing
I. Introduction
II. Background
III. Devices for Optical Feedback
IV. Applications of Optical Feedback
V. Conclusion
References
Index
- No. of pages: 584
- Language: English
- Edition: 1
- Published: January 1, 1987
- Imprint: Academic Press
- Paperback ISBN: 9780124142060
- eBook ISBN: 9780323145220