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Optical Signal Processing
1st Edition - January 1, 1987
Editor: Joseph Horner
eBook ISBN:9780323145220
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