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Entropy and Information Optics: Connecting Information and Time, Second Edition 2nd edition [Kõva köide]

(Pennsylvania State University, University Park, USA)
  • Formaat: Hardback, 210 pages, kõrgus x laius: 280x210 mm, kaal: 550 g, 150 Illustrations, black and white
  • Sari: Optical Science and Engineering
  • Ilmumisaeg: 11-Dec-2017
  • Kirjastus: CRC Press
  • ISBN-10: 1138555495
  • ISBN-13: 9781138555495
Teised raamatud teemal:
Entropy and Information Optics: Connecting Information and Time, Second Edition 2nd editionSuurem pilt
  • Formaat: Hardback, 210 pages, kõrgus x laius: 280x210 mm, kaal: 550 g, 150 Illustrations, black and white
  • Sari: Optical Science and Engineering
  • Ilmumisaeg: 11-Dec-2017
  • Kirjastus: CRC Press
  • ISBN-10: 1138555495
  • ISBN-13: 9781138555495
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781138555495.html
Märksõnad:
This book shows there is a profound connection between information and entropy. Without this connection, information would be more difficult to apply to science. This book covers the connection and the application to modern optics and radar imaging. It shows that there exists a profound relationship between Einsteins relativity theory and Schröingers quantum mechanics, by means of the uncertainty principle. In due of the uncertainty relation, this book shows that every bit of information takes time and energy to transfer, to create and to observe. The new edition contains 3 new chapters on radar imaging with optics, science in the myth of information, and time and the enigma of space.

Arvustused

"a very unique text; the contents are valuable to students, scientists and engineers working in optics and photonics area. It presents a fascinating integration of science and engineering, in particular optics, information and systems, from fundamental principles to practical applications. It also offers intriguing materials for a deep thinking about information and the universe, of which many interesting further explorations can be inspired. The book will be a very valuable reference as well an excellent course text for optical information processing or information optics." Ken Y. Hsu, National Chiao Tung University, Hsinchu City, Taiwan

"Besides the traditional Fourier optics, image processing, synthetic aperture radar (new) and information theory, the new renditions involving the relationship between space and time through how they affect information and entropy is fascinating. Readers will appreciate the parallels in the uncertainty relationships in space and time and the connections between quantum mechanics and relativity theory. Information takes time and energy to create, transfer and observe. The new contributions should go a long way in instilling in readers the physical principles and the wonders of the universe." Partha P. Banerjee, University of Dayton, Ohio, USA

"The updates and additions to the second edition merge the book with present state of the art issues such as quantum entanglement, aspects of the theory of relativity and modern views of space-time and gravity." Joseph Shamir, Technion Israel Institute of Technology

From the Series Editor ix
Preface xi
Author xiii
Chapter 1 Introduction to Information Transmission
1(16)
1.1 Information Measure
2(2)
1.2 Entropy Information
4(3)
1.3 Communication Channels
7(1)
1.4 Memoryless Discrete Channels
8(2)
1.5 Continuous Channels with Additive Noise
10(5)
1.6 Summary and Remarks
15(2)
References
16(1)
Chapter 2 Diffraction and Signal Analysis
17(18)
2.1 Introduction to Diffraction
17(1)
2.2 Fresnel-Kirchhoff Theory
18(1)
2.3 Linear Systems and Fourier Analysis
19(2)
2.4 Finite Bandwidth Analysis
21(2)
2.5 Degrees of Freedom of a Signal
23(2)
2.6 Gabor's Information Cell
25(1)
2.7 Signal Detection
26(1)
2.8 Statistical Signal Detection
27(2)
2.9 Signal Recovering
29(1)
2.10 Signal Ambiguity
30(1)
2.11 Wigner Signal Representation
31(2)
2.12 Fourier Transform Properties of Lenses
33(2)
References
34(1)
Chapter 3 Optical Spatial Channel and Encoding Principles
35(10)
3.1 Optical Spatial Communication Channel
35(2)
3.2 Optical Message in Spatial Coding
37(2)
3.3 Spatial Channel with Resolution Cells of Different Sizes
39(2)
3.4 Matching a Code with a Spatial Channel
41(4)
References
43(2)
Chapter 4 Entropy and Information
45(8)
4.1 Fundamental Laws of Thermodynamics
45(1)
4.2 Physical Entropy and Information
46(1)
4.3 Trading Entropy with Information
47(1)
4.4 Typical Examples
48(2)
4.5 Remarks
50(3)
References
50(3)
Chapter 5 Demon Exorcist and Cost of Entropy
53(12)
5.1 Perpetual Motion Machine
53(1)
5.2 Maxwell's Demon
54(1)
5.3 Information and Demon Exorcist
54(3)
5.4 Demon Exorcist, a Revisit
57(1)
5.5 Szilard's Demon
58(2)
5.6 Diffraction-Limited Demon
60(1)
5.7 Minimum Cost of Entropy
60(2)
5.8 Gabor's Perpetuum Mobile of the Second Kind
62(3)
References
63(2)
Chapter 6 Observation and Information
65(16)
6.1 Observation with Radiation
65(3)
6.2 Simultaneous Observations
68(1)
6.3 Observation and Information
69(2)
6.4 Accuracy and Reliability in Observations
71(3)
6.5 Observation by Interference and by Microscope
74(4)
6.6 Uncertainty and Observation
78(1)
6.7 Remarks
79(2)
References
79(2)
Chapter 7 Image Restoration and Information
81(14)
7.1 Image Restoration
81(3)
7.2 Uncertainty and Image Restoration
84(1)
7.3 Resolving Power and Information
85(2)
7.4 Coherent and Digital Image Enhancement
87(1)
7.5 Information Leakage Through a Passive Channel
88(2)
7.6 Restoration of Blurred Images
90(5)
References
93(2)
Chapter 8 Quantum Effect on Information Transmission
95(10)
8.1 Problem Formulation and Entropy Consideration
95(1)
8.2 Capacity of a Photon Channel
96(2)
8.3 Informational Theoristic Approach
98(2)
8.4 Narrowband Photon Channel
100(3)
8.5 Optimum Signal Power Distribution: A Special Case
103(2)
References
104(1)
Chapter 9 Coherence Theory of Optics
105(8)
9.1 Aspects of Coherence
105(1)
9.2 Spatial and Temporal Coherence
106(2)
9.2.1 Spatial Coherence
106(1)
9.2.2 Temporal Coherence
107(1)
9.3 Coherent and Incoherent Processing
108(1)
9.4 Exploitation of Coherence
109(3)
9.4.1 Exploitation of Spatial Coherence
109(1)
9.4.2 Exploitation of Temporal Coherence
110(1)
9.4.3 Complex Amplitude Processing
110(2)
9.4.4 Incoherent Superposition
112(1)
9.5 Remarks
112(1)
References
112(1)
Chapter 10 Wavelet Transforms with Optics
113(8)
10.1 Aspects of Wavelet Transform
113(1)
10.2 Fourier Domain Processing (FDP)
113(3)
10.3 Wavelet Transform
116(2)
10.4 Optical Implementations
118(1)
10.5 Simulations
118(1)
10.6 Remarks
119(2)
References
119(2)
Chapter 11 Pattern Recognition with Optics
121(8)
11.1 Optical Correlators
121(2)
11.2 Optical Disk-Based Correlator
123(1)
11.3 Photorefractive-Based Correlator
123(1)
11.4 Optical Neural Networks
124(2)
11.5 Composite Filters
126(1)
11.6 Remarks
127(2)
References
128(1)
Chapter 12 Computing with Optics
129(10)
12.1 Logic-Based Computing
129(1)
12.2 Optical Interconnects and Shuffling
129(2)
12.3 Matrix-Vector Multiplication
131(1)
12.4 Systolic Processor
132(1)
12.5 Matrix-Matrix Processing
133(2)
12.6 Expert System and Artificial Intelligence
135(3)
12.7 Remarks
138(1)
References
138(1)
Chapter 13 Communication with Fiber Optics
139(12)
13.1 Aspects of Fiber-Optic Communication
139(2)
13.2 Optical Fiber Structures
141(1)
13.3 Fiber-Optic Transmission
142(3)
13.4 Types of Optical Fibers
145(1)
13.5 Fiber-Optic Communications
146(2)
13.6 Remarks
148(3)
References
149(2)
Chapter 14 Synthetic Radar Imaging with Optics
151(4)
14.1 Synthetic Aperture Radar
151(1)
14.2 Radar Data Format Synthesis
151(2)
14.3 Radar Imaging with Optics
153(1)
14.4 Remarks
154(1)
References
154(1)
Chapter 15 Wideband Signal Analysis with Optics
155(6)
15.1 Time Signal to Two-Dimensional Spatial Conversion
155(1)
15.2 Spectrum Analysis with Optics
155(2)
15.3 Processing with Area Modulation
157(1)
15.4 Broadband Area Modulation Processing
158(1)
15.5 Remarks
159(2)
References
159(2)
Chapter 16 Information in Myth of Science and Creation
161(10)
16.1 Space and Information
161(1)
16.2 Time and Information
161(2)
16.3 Entropy and Information
163(1)
16.4 Substance and Information
163(1)
16.5 Uncertainty and Information
163(1)
16.6 Certainty and Information
164(1)
16.7 Relativity and Information
165(2)
16.8 Creation and Information
167(1)
16.9 Price Tag and Information
167(1)
16.10 Remarks
168(3)
References
168(3)
Chapter 17 Time: The Enigma of Space
171(6)
17.1 Time and Energy
171(1)
17.2 Einstein's Energy Equation
171(1)
17.3 Energy Conversion and Reservoir
171(1)
17.4 Trading Mass and Energy
171(1)
17.5 Physical Substance and Space
172(1)
17.6 Absolute and Physical Subspaces
172(1)
17.7 Time and Physical Space
173(1)
17.8 Electromagnetics and Laws of Physics
173(1)
17.9 Trading Time for Space
174(1)
17.10 Relativistic Time and Temporal Space
175(1)
17.11 Time and Physical Space
175(1)
17.12 We Are Not Alone
176(1)
17.13 Remarks
176(1)
References
176(1)
Chapter 18 Time-Space Quantum Entanglement
177(6)
18.1 Science and Mathematics
177(1)
18.2 Time and Temporal Space
177(1)
18.3 Quantum Entanglement
178(1)
18.4 Relativistic Quantum Entanglement
178(1)
18.5 The Art of Quantum Limited-Subspace
179(2)
18.6 Remarks
181(2)
References
181(2)
Appendix A Linear Difference Equation with Constant Coefficients 183(2)
Appendix B Solution of the A Priori Probabilities of Eqs. (5.37) and (5.38) 185(2)
Appendix C Probability Energy Distribution 187(2)
Appendix D Einstein's Energy Equation 189(2)
Appendix E Gravitation and EM Field Interaction 191(2)
Index 193
Francis T. S. Yu is Emeritus Evan Pugh (University) Professor of Electrical Engineering at The Pennsylvania State University, University Park. The author or coauthor over 3000 refereed articles in the areas of optical signal processing, neural networks, pattern recognition, photo-refractive optics, fiber sensing, relativistic information, science and information theory, time and temporal space, as well author and co-author of twelve books and co-editing four books. Some of his books have been translated in Russian, Japanese, Korean, Spanish, as well in Chinese. Dr. Yu is a Life-Fellow of the Institute of Electrical and Electronics (IEEE), a fellow of the Optical Society of America (OSA), and the International Society for Optical Engineering (SPIE). He was the recipient of the 2004 SPIE Dennis Gabor Award and 2016 OSA Emmett Leith Medal. He received the B.S. (1956) degree from Mapua Institute of Technology, Manila, Philippines, and the M.S. (1958) and Ph.D. (1964) degree in electrical engineering from the University of Michigan, Ann Arbor.