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  • Signal Processing Using Optics: Fundamentals, Devices, Architectures, and Applications

    Signal Processing Using Optics by Boone, Bradley G.;

    Fundamentals, Devices, Architectures, and Applications

    Series: Johns Hopkins University Applied Physics Laboratory Series in Science & Engineering;

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    Product details:

    • Publisher OUP USA
    • Date of Publication 12 March 1998

    • ISBN 9780195084245
    • Binding Hardback
    • No. of pages416 pages
    • Size 242x195x24 mm
    • Weight 889 g
    • Language English
    • Illustrations halftones, numerous line drawings, tables
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    Short description:

    This textbook covers the basic aspects of optical signal processing at an introductory level, covering the fundamentals, devices, architectures, and prominent applications of optical signal processing. The text aims to provide the student with insight on the underlying mathematical and physical principles, practical understanding of component technology and performance, a grasp of system design and analysis, and familiarity with architectures for selected but
    representative applications. It is intended for senior-level undergraduate or first-year graduate students in electrical engineering or applied physics as well as practicing engineers and scientists.

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    Long description:

    This textbook covers the basic aspects of otical signal processing at an introductory level, yet it should help the student bridge the gap to current technical literature. It is intnded for senior-level undergraduate or first-year graduate students in the electrical engineering or applied physics as well as practicing engineers and scientists. Although the student or professional should have some exposure to one-dimensional signal processing, optics, and imaging to
    make the book self-contained and the necessary background information readily accessible. The text aim is to provide the student with insight on the underlying mathematical and physical principles, practical understanding of component technology and performance, a grasp of system design and analysis,
    and familiarity with architectures for selected but representative applications. Problem exercise, selected hints and solution, extensive reference, and MATLAB based modeling ansd simulation tools are included to support the student's exploration of applications and to direct their learning towards the current technical literature. Numerous architectural diagrams are provided to assist in the understanding and visualization of important concepts and their implementation.

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    Table of Contents:

    Introduction
    Two-dimensional linear systems
    Fundamental properties
    Linear superposition
    Convolution and correlation
    Two-dimensional Fourier transforms and properties
    Rectangular and polar form
    Linear coordinate transformation and Fourier theorem
    Examples of magnification and rotation
    Two dimensional impulse fuctions: properties and Fourier transforms
    Elementary images and their Fourier properties
    Stochastic processes and nonlinear systems
    Basic concepts of stachsatic processes
    Fundamental probability density functions
    Matched filter derivation and properties of correlation
    Nonlinear transformations and operations
    Mixing and modulation
    Mathematical transforms used in optical signal processing
    Overview
    Fresnel transform
    Hilbert transform
    Radon transform
    Mellin transform
    Wavelet transform
    Fundamental properties of light and geometric optics
    Overview
    Fundamental scalar and vector properties of light
    Polarization
    Rectilinear glass structures and their properties
    Simple lenses and lens combinations
    Summary of physical optics
    Overview
    Coherence and interference
    Scalar diffraction theory
    Fraunhofer diffraction
    Fresnel diffraction
    Fourier transform and imaging properties of optical systems
    Overview
    Effects of lens on a wavefront
    Imaging property of lenses
    Linear system properties of imaging systems
    Pint spread function
    Optical trasnfer function
    Signal processing analogies for optics
    Light sources and detectors
    Overview
    Laser principles of operations
    Laser diode arrays
    Output light detectors
    Single detectors
    Linear and matrix arrays
    Optical signal processing requirements
    Spatial light modulators
    Acousto-optic Bragg cells
    Liquid crystal spatial light modulators
    Magneto-optic spatial light modulator
    Other spatial light modulators
    Optical spectrum analysis and correlation
    Overview
    Time and space integrating architectures
    Coherent and incoherent architecture
    Spectrum analysis
    Space integrating spectrum analyzer
    Time integrating spectrum analyzer
    Correlation
    Incoherent optical correlator architectures
    Coherent optical correlator architectures
    Image and matched spatial filtering
    Overview
    VanderLugt filter
    Image spatial filtering
    Matched spatial filter and binary phase-only correlators
    Techniques for circumvention geometric distortions
    Spatial multiplexing
    Distortion invariant transformations
    Angular correlation
    Radar signal processing applications
    Overview
    Radar signal processing
    Ambiguity function processing
    Synthetic aperture radar
    Pattern recognition applications
    Overview
    Feature extraction
    Optical vector-matrix multiplication
    Optical neural networks
    Appendix A: Mathematical Tables
    Appendix B: Annotated Bibliography
    Appendix C: Software for Modeling and Visualization
    Appendix D: Hints and Solutions to selected problems
    References
    Index

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