Signal Processing Using Optics: Fundamentals, Devices, Architectures, and Applications - Rilegato

Boone, Bradley G.

Rilegato

ISBN 10: 0195084241 ISBN 13: 9780195084245

Casa editrice: Oxford Univ Pr on Demand, 1997

Riassunto

Signal Processing Using Optics covers the fundamental aspects of optical signal processing at an introductory level and also discusses more applied topics, helping students and professionals bridge the gap to the current technical literature. Although readers are expected to have previous knowledge of one-dimensional signals and systems and optics beyond general physics, this self-contained text reviews the essentials of signal processing, optics, and imaging to make necessary background information readily available. It continues on with coverage of devices, architectures, and prominent applications, providing students with insight into the mathematical and physical principles, a practical understanding of component technology and performance, a grasp of system design and analysis, and a familiarity with architectures for selected but representative applications. Ideal for senior-level undergraduate and first year graduate students in electrical engineering and applied physics as well as practicing engineers and scientists, this accessible text also includes problem exercises, selected hints and solutions, extensive references, and MATLAB-based modeling (available via the World Wide Web at http://www.jhuapl.edu/public/books/OSPbook/firstpage.html). It also offers simulation tools to support students exploration of applications and to direct their learning towards the current technical literature. Numerous architectural diagrams are provided to help students understand and visualize important concepts and their implementation.

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Contenuti

• Introduction
• 1.: Two-dimensional linear systems
• 1.1: Fundamental properties
• 1.2: Linear superposition
• 1.3: Convolution and correlation
• 1.4: Two-dimensional Fourier transforms and properties
• 1.5: Rectangular and polar form
• 1.6: Linear coordinate transformation and Fourier theorem
• 1.7: Examples of magnification and rotation
• 1.8: Two dimensional impulse fuctions: properties and Fourier transforms
• 1.9: Elementary images and their Fourier properties
• 2.: Stochastic processes and nonlinear systems
• 2.1: Basic concepts of stachsatic processes
• 2.2: Fundamental probability density functions
• 2.3: Matched filter derivation and properties of correlation
• 2.4: Nonlinear transformations and operations
• 2.5: Mixing and modulation
• 3.: Mathematical transforms used in optical signal processing
• 3.1: Overview
• 3.2: Fresnel transform
• 3.3: Hilbert transform
• 3.4: Radon transform
• 3.5: Mellin transform
• 3.6: Wavelet transform
• 4.: Fundamental properties of light and geometric optics
• 4.1: Overview
• 4.2: Fundamental scalar and vector properties of light
• 4.3: Polarization
• 4.4: Rectilinear glass structures and their properties
• 4.5: Simple lenses and lens combinations
• 5.: Summary of physical optics
• 5.1: Overview
• 5.2: Coherence and interference
• 5.3: Scalar diffraction theory
• 5.4: Fraunhofer diffraction
• 5.5: Fresnel diffraction
• 6.: Fourier transform and imaging properties of optical systems
• 6,1: Overview
• 6.2: Effects of lens on a wavefront
• 6.3: Imaging property of lenses
• 6.5: Linear system properties of imaging systems
• 6.6: Pint spread function
• 6.7: Optical trasnfer function
• 6.9: Signal processing analogies for optics
• 7.: Light sources and detectors
• 7.1: Overview
• 7.2: Laser principles of operations
• 7.2 Light emitting diodes and laser diodes:
• 7.3: Laser diode arrays
• 7.4: Output light detectors
• 7.5: Single detectors
• 7.6: Linear and matrix arrays
• 7.7: Optical signal processing requirements
• 8.: Spatial light modulators
• 8.1: Acousto-optic Bragg cells
• 8.3: Liquid crystal spatial light modulators
• 8.4: Magneto-optic spatial light modulator
• 8.5: Other spatial light modulators
• 9.: Optical spectrum analysis and correlation
• 9.1: Overview
• 9.2: Time and space integrating architectures
• 9.3: Coherent and incoherent architecture
• 9.4: Spectrum analysis
• 9.5: Space integrating spectrum analyzer
• 9.6: Time integrating spectrum analyzer
• 9.7: Correlation
• 9. 8: Incoherent optical correlator architectures
• 9.9: Coherent optical correlator architectures
• 10.: Image and matched spatial filtering
• 10.1: Overview
• 10.2: VanderLugt filter
• 10.3: Image spatial filtering
• 10.4: Matched spatial filter and binary phase-only correlators
• 10.5: Techniques for circumvention geometric distortions
• 10.6: Spatial multiplexing
• 10.7: Distortion invariant transformations
• 10.8: Angular correlation
• 11.: Radar signal processing applications
• 11.1: Overview
• 11.2: Radar signal processing
• 11.3: Ambiguity function processing
• 11.4: Synthetic aperture radar
• 12.: Pattern recognition applications
• 12.1: Overview
• 12.2: Feature extraction
• 12. 3: Optical vector-matrix multiplication
• 12.4: 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

Product Description

Book by Boone Bradley G

Dettagli dell?edizione

• Editore: Oxford Univ Pr on Demand
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 0195084241
• ISBN 13: 9780195084245
• Rilegatura: Copertina rigida
• Numero di pagine: 394
• Contatto del produttore: non disponibile