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During the next years neural networks and systems amenable to instructions will extend their influence in science and technology. A prominent point of interest in this field is assigned to optical networks: they are small and flexible, and due to their ability of parallel processing they are devoted to the construction of small systems. This monograph explains the fundamentals of optical neural networks to physicists, engineers and device constructors.
Annotation First book on Free Space Optics (FSO) in the marketplace. Comprehensive book that covers fundamentals through benefits and deployment pit falls. First comprehensive book about FSO, written by two experts in the field. Explores FSO as an alternative to cable and fiber as last-mile solutions. Enables readers to maximize the benefits of FSO and anticipate potential deployment pitfalls. Free Space Optics begins with the fundamentals of the technology before launching into FSO topologies, deployment issues, applications, and case studies. Baksheesh Ghuman is Vice President of Marketing at LightPointe Communications, Inc. Ghuman has worked in optical and telecommunications for over 12 years, focusing on marketing, product development, and applications engineering. He holds a Master of Science in Telecommunications Management from Golden State University, San Franscisco. Dr. Heinz Willebrand is Chief Technology Officer of LightPointe Communications where he leads all of LightPointe's R&D activities in the field of free space wireless RF and high-speed optical laser communication systems. Prior to LightPointe, Dr. Willebrand was a research professor at the University of Boulder, Colorado, where he taught classes on fiber optic and wireless technologies and researched areas such as fiber optics and high-speed computer interconnections.
Optics is entering all phases of computer technology. By providing new research and ideas, it brings the reader up to date on how and why optics is likely to be used in next generation computers and at the same time explains the unique advantage optics enjoys over conventional electronics and why this trend will continue. Covered are basic optical concepts such as mathematical derivations, optical devices for optical computing, optical associative memories, optical interconnections, and optical logic. Also suggested are a number of research activities that are reinforcing the trend toward optics in computing, including neural networks, the software crisis, highly parallel computation, progress in new semiconductors, the decreasing cost of laser diodes, communication industry investments in fiber optics, and advances in optical devices. Exercises, solutions sets, and examples are provided.
Presents recent technical information and gives an overview of progress in optical memory, neural networks and fractals from the viewpoint of optical information processing. The work introduces holographic optical disks and holographic storage in photorefractive crystal fibre, discusses the optical implementation of neural networks, explains the use of neurochips as artificial retinas, and more.
"This engagingly written text provides a useful pedagogical introduction to an extensive class of geometrical phenomena in the optics of polarization and phase, including simple explanations of much of the underlying mathematics." —Michael Berry, University of Bristol, UK "The author covers a vast number of topics in great detail, with a unifying mathematical treatment. It will be a useful reference for both beginners and experts...." —Enrique Galvez, Charles A. Dana Professor of Physics and Astronomy, Colgate University "a firm and comprehensive grounding both for those looking to acquaint themselves with the field and those of us that need reminding of the things we thought we knew, but hitherto did not understand: an essential point of reference." —Miles Padgett, Kelvin Chair of Natural Philosophy and Vice Principal (Research), University of Glasgow This book focuses on the various forms of wavefield singularities, including optical vortices and polarization singularities, as well as orbital angular momentum and associated applications. It highlights how an understanding of singular optics provides a completely different way to look at light. Whereas traditional optics focuses on the shape and structure of the non-zero portions of the wavefield, singular optics describes a wave’s properties from its null regions. The contents cover the three main areas of the field: the study of generic features of wavefields, determination of unusual properties of vortices and wavefields that contain singularities, and practical applications of vortices and other singularities.
Understanding of the human brain functioning currently represents a challenging problem. In contrast to usual serial computers and complicated hierarchically organized artificial man-made systems, decentralized, parallel and distributed information processing principles are inherent to the brain. Besides adaptation and learning, which play a crucial role in brain functioning, oscillatory neural activity, synchronization and resonance accompany the brain work. Neural-like oscillatory network models, designed by the authors for image processing, allow to elucidate the capabilities of dynamical, synchronization-based types of image processing, presumably exploited by the brain. The oscillatory network models, studied by means of computer modeling and qualitative analysis, are presented and discussed in the book. Some other problems of parallel distributed information processing are also considered, such as a recall process from network memory for large-scale recurrent associative memory neural networks, performance of oscillatory networks of associative memory, dynamical oscillatory network methods of image processing with synchronization-based performance, optical parallel information processing based on the nonlinear optical phenomenon of photon echo, and modeling random electric fields of quasi-monochromatic polarized light beams using systems of superposed stochastic oscillators. This makes the book highly interesting to researchers dealing with various aspects of parallel information processing.
This reference book concentrates on microstructuring surfaces of optical materials with directed fluxes of off-electrode plasma generated by high-voltage gas discharge and developing methods and equipment related to this technique. It covers theoretical and experimental studies on the electrical and physical properties of high-voltage gas discharges used to generate plasma outside an electrode gap. A new class of methods and devices that makes it possible to implement a series of processes for fabricating diffraction microstructures on large format wafers is also discussed.
This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.
This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The 84 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural networks.