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Optical Signal Processing Computing And Neural Networks
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Book Synopsis Optical Signal Processing, Computing, and Neural Networks by : Frances T. S. Yu
Download or read book Optical Signal Processing, Computing, and Neural Networks written by Frances T. S. Yu and published by Wiley-Interscience. This book was released on 1992-11-19 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, optical computing and optical neural networks research has enriched the field originally known as optical signal processing. Optical Signal Processing, Computing, and Neural Networks is a self-contained textbook that offers an introductory survey which examines photonics, linear and nonlinear signal processing, and numerical, symbolic, and neural computing. This comprehensive sourcebook is a basic text for students who lack an intensive background in optic, electromagnetic, computer, and neural network theories. It will also serve as a working reference for optical physicists and engineers involved in current research and development of modern optical signal processing that includes optical computing and neural networks. The first chapter of this book contains the basic coherent theory and concepts of optical transformation. The second chapter introduces the fundamental concept of optical signal processing and its architectures. The third chapter presents selected applications in coherent optics while the fourth chapter discusses white-light processing and its applications. The advances of spatial-light modulators are discussed as well as hybrid-optical architectures using spatial-light modulators in later chapters. Applications of photorefractive crystals in optical signal processing are presented in chapter 7. Digital-optical computing is described in chapter 8 while optical neural networks and their architectures, designs, and models are thoroughly covered in chapter 9. Examples and experimental results are included throughout the book to emphasize the concepts. Chapters include problem sets, 330 throughout, that reinforce key elements in the text.
Book Synopsis Photonic Reservoir Computing by : Daniel Brunner
Download or read book Photonic Reservoir Computing written by Daniel Brunner and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-07-08 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously facilitated the realization of recurrent neural networks in analogue hardware. This concept exploits the properties of complex nonlinear dynamical systems, giving rise to photonic reservoirs implemented by semiconductor lasers, telecommunication modulators and integrated photonic chips.
Book Synopsis Neuromorphic Photonics by : Paul R. Prucnal
Download or read book Neuromorphic Photonics written by Paul R. Prucnal and published by CRC Press. This book was released on 2017-05-08 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Neural Networks for Optimization and Signal Processing by : Andrzej Cichocki
Download or read book Neural Networks for Optimization and Signal Processing written by Andrzej Cichocki and published by John Wiley & Sons. This book was released on 1993-06-07 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create new techniques and architectures. Provides in-depth coverage of mathematical modeling along with illustrative computer simulation results.
Book Synopsis Neural Networks for Intelligent Signal Processing by : Anthony Zaknich
Download or read book Neural Networks for Intelligent Signal Processing written by Anthony Zaknich and published by World Scientific. This book was released on 2003 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough theoretical and practical introduction to the application of neural networks to pattern recognition and intelligent signal processing. It has been tested on students, unfamiliar with neural networks, who were able to pick up enough details to successfully complete their masters or final year undergraduate projects. The text also presents a comprehensive treatment of a class of neural networks called common bandwidth spherical basis function NNs, including the probabilistic NN, the modified probabilistic NN and the general regression NN.
Book Synopsis Optical Signal Processing by : M.A. Fiddy
Download or read book Optical Signal Processing written by M.A. Fiddy and published by Springer Science & Business Media. This book was released on 1991-12-31 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Real-Time Optical Information Processing by : Bahram Javidi
Download or read book Real-Time Optical Information Processing written by Bahram Javidi and published by Academic Press. This book was released on 2012-12-02 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-Time Optical Information Processing covers the most recent developments in optical information processing, pattern recognition, neural computing, and materials for devices in optical computing. Intended for researchers and graduate students in signal and information processing with some elementary background in optics, the book provides both theoretical and practical information on the latest in information processing in all its aspects. Leading researchers in the field describe the significant signal processing algorithms architectures in optics as well as basic hardware concepts, such as the fundamentals of spatial light modulators. Each chapter begins with a review of basic concepts and follows with a discussion of recent advances in the field. A complete bibliography on the fundamentals of each topic is also included to aid the reader.Contributors are among the leading researchers in the areaChapters begin with reviews of basic conceptsComplete bibliographical information is included
Book Synopsis Optical Neural Networks by : Cornelia Denz
Download or read book Optical Neural Networks written by Cornelia Denz and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Neural Information Processing and VLSI by : Bing J. Sheu
Download or read book Neural Information Processing and VLSI written by Bing J. Sheu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Neural Information Processing and VLSI systematically presents various neural network paradigms, computing architectures, and the associated electronic/optical implementations using efficient VLSI design methodologies. Conventional digital machines cannot perform computationally-intensive tasks with satisfactory performance in such areas as intelligent perception, including visual and auditory signal processing, recognition, understanding, and logical reasoning (where the human being and even a small living animal can do a superb job). Recent research advances in artificial and biological neural networks have established an important foundation for high-performance information processing with more efficient use of computing resources. The secret lies in the design optimization at various levels of computing and communication of intelligent machines. Each neural network system consists of massively paralleled and distributed signal processors with every processor performing very simple operations, thus consuming little power. Large computational capabilities of these systems in the range of some hundred giga to several tera operations per second are derived from collectively parallel processing and efficient data routing, through well-structured interconnection networks. Deep-submicron very large-scale integration (VLSI) technologies can integrate tens of millions of transistors in a single silicon chip for complex signal processing and information manipulation. The book is suitable for those interested in efficient neurocomputing as well as those curious about neural network system applications. It has been especially prepared for use as a text for advanced undergraduate and first year graduate students, and is an excellent reference book for researchers and scientists working in the fields covered.
Book Synopsis Introduction to Information Optics by : Francis T.S. Yu
Download or read book Introduction to Information Optics written by Francis T.S. Yu and published by Elsevier. This book was released on 2001-09-12 with total page 749 pages. Available in PDF, EPUB and Kindle. Book excerpt: While there are books treating individual topics contained in this book, this will be the first single volume providing a cohesive treatment on this subject as a whole. This goes beyond optical communications in that it includes related topics such as sensing, displays, computing, and data storage.
Book Synopsis Entropy and Information Optics by : Francis T.S. Yu
Download or read book Entropy and Information Optics written by Francis T.S. Yu and published by CRC Press. This book was released on 2000-03-17 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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."
Book Synopsis Image Recognition and Classification by : Bahram Javidi
Download or read book Image Recognition and Classification written by Bahram Javidi and published by CRC Press. This book was released on 2002-06-14 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Details the latest image processing algorithms and imaging systems for image recognition with diverse applications to the military; the transportation, aerospace, information security, and biomedical industries; radar systems; and image tracking systems."
Book Synopsis Encyclopedia of Optical Engineering: Pho-Z, pages 2049-3050 by : Ronald G. Driggers
Download or read book Encyclopedia of Optical Engineering: Pho-Z, pages 2049-3050 written by Ronald G. Driggers and published by CRC Press. This book was released on 2003 with total page 1100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compiled by 330 of the most widely respected names in the electro-optical sciences, the Encyclopedia is destined to serve as the premiere guide in the field with nearly 2000 figures, 560 photographs, 260 tables, and 3800 equations. From astronomy to x-ray optics, this reference contains more than 230 vivid entries examining the most intriguing technological advances and perspectives from distinguished professionals around the globe. The contributors have selected topics of utmost importance in areas including digital image enhancement, biological modeling, biomedical spectroscopy, and ocean optics, providing thorough coverage of recent applications in this continually expanding field.
Book Synopsis International Conference on Laser Materials and Devices. by : Amitav Mallik
Download or read book International Conference on Laser Materials and Devices. written by Amitav Mallik and published by Allied Publishers. This book was released on 1999 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Optical Engineering by : Francis T. S. Yu
Download or read book Introduction to Optical Engineering written by Francis T. S. Yu and published by Cambridge University Press. This book was released on 1997-05-13 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical devices are employed in an ever-increasing range of applications, from simple lenses to complex fibre-optic communication networks. This book provides a detailed introduction to modern optical engineering, covering the fundamental concepts as well as practical techniques and applications. Basic optical principles are presented, particularly reflection, refraction, aberrations, diffraction and interference. Building on this foundation, a wide variety of optical devices and processes are then discussed, including simple optical instruments, photodetectors, spatial light modulators, holography and lasers. Two chapters are devoted to linear system transforms and signal processing, and the book concludes with a chapter on fibre optics. The book contains many worked examples and over 250 problems (solutions manual for instructors available from the publishers). It will be invaluable to electrical engineering and physics undergraduates taking courses in optical engineering, photonics, and electro-optics.
Book Synopsis Principles of Lasers and Optics by : William S. C. Chang
Download or read book Principles of Lasers and Optics written by William S. C. Chang and published by Cambridge University Press. This book was released on 2005-01-20 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Lasers and Optics, first published in 2005, describes both the fundamental principles of the laser and the propagation and application of laser radiation in bulk and guided-wave components. All solid state, gas and semiconductor lasers are analysed uniformly as macroscopic devices with susceptibility originated from quantum mechanical interactions to develop an overall understanding of the coherent nature of laser radiation. Analyses of the unique properties of coherent laser light in bulk and guided-wave components are presented together and derived from fundamental principles, to allow students to appreciate the differences and similarities. Topics covered include discussions on how laser radiation should be analysed, the macroscopic differences and similarities of various analyses, special techniques, types of lasers and setting up laser analyses. This text will be useful for first-year graduates in electrical engineering and physics and also as a reference book on analytical techniques.
Book Synopsis Optics for AI and AI for Optics by : Jinlong Wei
Download or read book Optics for AI and AI for Optics written by Jinlong Wei and published by MDPI. This book was released on 2020-06-23 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is deeply involved in our daily lives via reinforcing the digital transformation of modern economies and infrastructure. It relies on powerful computing clusters, which face bottlenecks of power consumption for both data transmission and intensive computing. Meanwhile, optics (especially optical communications, which underpin today’s telecommunications) is penetrating short-reach connections down to the chip level, thus meeting with AI technology and creating numerous opportunities. This book is about the marriage of optics and AI and how each part can benefit from the other. Optics facilitates on-chip neural networks based on fast optical computing and energy-efficient interconnects and communications. On the other hand, AI enables efficient tools to address the challenges of today’s optical communication networks, which behave in an increasingly complex manner. The book collects contributions from pioneering researchers from both academy and industry to discuss the challenges and solutions in each of the respective fields.
