Optical Signal Processing

1st Edition - January 1, 1987

Editor: Joseph Horner

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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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 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