Entropy and Information Optics: Connecting Information and Time, Second Edition

ISBN-13: 9781138555495 / Angielski / Twarda / 2017 / 196 str.

University Francis T.S. (Pennsylvania State University Yu

Opis

This book shows there is a profound connection between information and entropy. This book covers the connection and the application to modern optics and radar imaging.

Spis treści

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.

O autorze

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.