Entropy and Information Optics

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.

"…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

• Introduction to Information Transmission. Diffraction and Signal Analysis. Spatial Channel Encoding. Entropy and Information. Demon Exorcist and Cost of Entropy. Observation and Information. Image Restoration and Information. Quantum Effect on Photon Channel. Coherence Theory of Optics. Wavelet Transforms with Optics. Pattern Recognition with Optics. Computing with Optics. Communication with Fibre Optics. Appendices: Linear Difference Equation with Constant Coefficients. Solution of the A Priori Probabilities of Eqs. (5.37) and (5.38). Probability Energy Distribution. Radar Imaging with Optics. Science and the Myth of Information. Time: The Enigma of Space.