Signal Processing Using Optics: Fundamentals, Devices, Architectures, and Applications by Bradley G. BooneSignal Processing Using Optics: Fundamentals, Devices, Architectures, and Applications by Bradley G. Boone

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

byBradley G. Boone

Hardcover | November 1, 1997

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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 previousknowledge 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, andprominent 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. Idealfor 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 (availablevia the World Wide Web at 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 studentsunderstand and visualize important concepts and their implementation.
Bradley G. Boone is at The Johns Hopkins University Applied Physics Laboratory.
Title:Signal Processing Using Optics: Fundamentals, Devices, Architectures, and ApplicationsFormat:HardcoverDimensions:416 pages, 9.21 × 7.28 × 0.91 inPublished:November 1, 1997Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0195084241

ISBN - 13:9780195084245


Table of Contents

PrefaceAcknowledgmentsIntroduction Bibliography1. TWO-DIMENSIONAL LINEAR SYSTEMS. 1.1. Fundamental Properties1.2. Linear Superposition1.3. Convolution and Correlation1.4. Two-Dimensional Fourier Transforms and Properties1.5. Rectangular and Polar Forms1.6. Linear Coordinate Transformation and Fourier Theorem1.7. Examples of Magnification and Rotation1.8. Two-Dimensional Impulse Functions: Properties and Fourier Transforms1.9. Elementary Images and Their Fourier Properties2. STOCHASTIC PROCESSES AND NONLINEAR SYSTEMS2.1. Basic Concepts of Stochastic Processes2.2. Fundamental Probability Density Functions2.3. Matched Filter Derivation and Properties of Correlation2.4. Nonlinear Transformations and Operations2.5. Mixing and Modulation3. MATHEMATICAL TRANSFORMS USED IN OPTICAL SIGNAL PROCESSING3.1. Overview3.2. Fresnel Transform3.3. Hilbert Transform3.4. Radon Transform3.5. Mellin Transform3.6. Wavelet Transform4. FUNDAMENTAL PROPERTIES OF LIGHT AND GEOMETRICAL OPTICS4.1. Overview4.2. Fundamental Scalar and Vector Properies of Light4.3. Polarization4.4. Rectilinear Glass Structures and Their Properties4.5. Simple Lenses and Lens Combinations5. SUMMARY OF PHYSICAL OPTICS5.1. Overview5.2. Coherence and Interference5.3. Scalar Diffraction Theory5.4. Fraunhofer Diffraction5.5. Fresnel Diffraction6. FOURIER TRANSFORM AND IMAGING PROPERTIES OF OPTICAL SYSTEMS6.1. Overview6.2. Effect of Lens on a Wavefront6.3. Fourier Transform Property of a Single Lens6.4. Imaging Property of Lenses6.5. Linear System Properties of Imaging Systems6.6. Point Spread Function6.7. Optical Transfer Function6.8. Signal Processing Analogies for Optics7. LIGHT SOURCES AND DETECTORS7.1. Overview7.2. Laser Principles of Operation7.3. Light Emitting Diodes and Laser Diodes7.4. Laser Diode Arrays7.5. Output Light Detectors7.6. Single detectors7.7. Linear and Matrix Arrays7.8. Optical Signal Processing Requirements8. SPATIAL LIGHT MODULATORS8.1. Overview8.2. Acousto-Optic Bragg Cells8.3. Liquid Crystal Spatial Light Modulators8.4. Magneto-Optic Spatial Light Modulator8.5. Other Spatial Light Modulators9. OPTICAL SPECTRUM ANALYSIS AND CORRELATION9.1. Overview9.2. Time- and Space- Integrating Architectures9.3. Coherent and Incoherent Architectures9.4. Spectrum Analysis9.5. Space-Integrating Spectrum Analyzer9.6. Time integrating specturm analyzer9.7. Correlation9.8. Incoherent Optical Correlator Architectures9.9. Coherent Optical Correlator Architectures10. IMAGE AND MATCHED SPATIAL FILTERING10.1. Overview10.2. VanderLugt Filter10.3. Image Spatial Filtering10.4. Matched Spatial Filter and Binary Phase-Only Correlators10.5. Techniques for Circumventing Geometric Distortions10.6. Spatial Multiplexing10.7. Distortion-Invariant Transformations10.8. Angular Correlation11. RADAR SIGNAL PROCESSING APPLICATIONS11.1. Overview11.2. Radar Signal Processing11.3. Ambiguity Function Processing11.4. Synthetic Aperture Radar12. PATTERN RECOGNITION APPLICATIONS12.1. Overview12.2. Feature Extraction12.3. Matrix-Vector Multiplication12.4. Optical Neural NetworksEach chapter ends with Problem Exercises and a BibliographyAppendix A: Mathematical TablesAppendix B: Annotated BibliographyAppendix C: Software for Modeling and VisualizationAppendix D: Hints and Solutions to Selected ProblemsIndex