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Entropy and Information Optics [Kõva köide]

(Pennsylvania State University, University Park, USA), (Pennsylvania State University, University Park, USA)
  • Formaat: Hardback, 360 pages, kõrgus x laius: 279x216 mm, kaal: 635 g, Contains 68 hardbacks
  • Sari: Optical Science and Engineering
  • Ilmumisaeg: 17-Mar-2000
  • Kirjastus: Marcel Dekker Inc
  • ISBN-10: 0824703634
  • ISBN-13: 9780824703639
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  • Formaat: Hardback, 360 pages, kõrgus x laius: 279x216 mm, kaal: 635 g, Contains 68 hardbacks
  • Sari: Optical Science and Engineering
  • Ilmumisaeg: 17-Mar-2000
  • Kirjastus: Marcel Dekker Inc
  • ISBN-10: 0824703634
  • ISBN-13: 9780824703639
Teised raamatud teemal:
With an eye to developing faster and more efficient optical communication and information processing systems, this text lucidly explores the relationship between entropy and information optics. Yu (electrical engineering, Pennsylvania State U.) introduces information transmission with definitions of information from the viewpoints of pure mathematics, physics, and communication engineering; and the concept of information theory as a branch of probability theory. Subsequent chapters focus on such topics as: diffraction and signal analysis, optical spatial channel and encoding principles, exorcising Maxwell's demon, coherence theory of optics, computing with optics, and communicating with fiber optics. Equations and illustrations illuminate the text. Appends material on linear difference equations, solutions of two equations in the text, and the probability energy distribution. Annotation c. Book News, Inc., Portland, OR (booknews.com)

"Identifies the relationship between entropy and information optics as the impetus for the research and development of high-speed, high-data-rate, and high-capacity communication systems. Examines computing, pattern recognition, and wavelet transformation."
From the Series Editor iii Brian J. Thompson Preface v Introduction to Information Transmission 1(34) Information Measure 4(3) Entropy Information 7(8) Communication Channels 15(1) Memoryless Discrete Channels 16(6) Continuous Channels with Additive Noise 22(9) Summary and Remarks 31(4) References 33(2) Diffraction and Signal Analysis 35(40) Introduction to Diffraction 36(3) Fresnel--Kirchhoff Theory 39(2) Linear Systems and Fourier Analysis 41(3) Finite Bandwidth Analysis 44(5) Degrees of Freedom of a Signal 49(3) Gabors Information Cell 52(3) Signal Detection 55(2) Statistical Signal Detection 57(4) Signal Recovering 61(2) Signal Ambiguity 63(3) Wigner Signal Representation 66(4) Fourier Transform Properties of Lenses 70(5) References 73(2) Optical Spatial Channel and Encoding Principles 75(20) Optical Spatial Communication Channel 75(5) Optical Message in Spatial Coding 80(4) Optical Channel with Resolution Cells of Different Sizes 84(5) Matching a Code with a Spatial Channel 89(6) References 93(2) Entropy and Information 95(14) Fundamental Laws of Thermodynamics 95(4) Physical Entropy and Information 99(1) Trading Entropy with Information 100(2) Typical Examples 102(4) Remarks 106(3) References 107(2) Demon Exorcist and Cost of Entropy 109(24) Perpetual Motion Machine 109(2) Maxwells Demon 111(2) Information and Demon Exorcist 113(5) Demon Exorcist, A Revisit 118(3) Szilards Demon 121(3) Diffraction-Limited Demon 124(2) Minimum Cost of Entropy 126(3) Gabors Perpetuum Mobile of the Second Kind 129(4) References 131(2) Observation and Information 133(32) Observation with Radiation 135(4) Simultaneous Observations 139(3) Observation and Information 142(3) Accuracy and Reliability in Observations 145(8) Observation by Interference and by Microscope 153(6) Uncertainty and Observation 159(3) Remarks 162(3) References 163(2) Image Restoration and Information 165(30) Image Restoration 165(6) Uncertainty and Image Restoration 171(4) Resolving Power and Information 175(3) Coherent and Digital Image Enhancement 178(2) Information Leakage through a Passive Channel 180(6) Restoration of Blurred Images 186(9) References 192(3) Quantum Effect on Information Transmission 195(22) Problem Formulation and Entropy Consideration 196(2) Capacity of a Photon Channel 198(5) An Informational Theoristic Approach 203(3) Narrow-Band Photon Channel 206(6) Optimum Signal Power Distribution, A Special Case 212(5) References 215(2) Coherence Theory of Optics 217(16) Aspects of Coherence 217(4) Spatial and Temporal Coherence 221(3) Coherent and Incoherent Processing 224(2) Exploitation of Coherence 226(6) Remarks 232(1) References 232(1) Wavelet Transforms with Optics 233(18) Aspects of Wavelet Transform 233(1) Fourier Domain Processing 234(5) Wavelet Transform 239(3) Optical Implementations 242(4) Simulations 246(3) Remarks 249(2) References 249(2) Pattern Recognition with Optics 251(20) Optical Correlators 251(4) Optical-Disk-Based Correlator 255(2) Photorefractive-Based Correlator 257(2) Optical Neural Networks 259(4) Composite Filters 263(6) Remarks 269(2) References 269(2) Computing with Optics 271(24) Logic-Based Computing 271(4) Optical-Interconnects and Shuffling 275(3) Matrix-Vector Multiplication 278(1) Systolic Processor 279(3) Matrix-Matrix Processing 282(2) Expert System and Artificial Intelligence 284(8) Remarks 292(3) References 293(2) Communication with Fiber Optics 295(24) Aspects of Fiber-Optic Communication 295(6) Optical Fiber Structures 301(2) Fiber-Optic Transmission 303(6) Types of Optical Fibers 309(3) Fiber-Optic Communications 312(3) Remarks 315(4) References 317(2) Appendix A Linear Difference Equation with Constant Coefficients 319(2) Appendix B Solution of the a priori Probabilities of Eqs. (5.37) and (5.38) 321(2) Appendix C Probability Energy Distribution 323(2) Index 325