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Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an analog computing industry. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Although its prime focus is on visual computing, the concepts and techniques described in the book will be of great interest to those working in other areas of research including modeling of biological, chemical and physical processes. Leon Chua, co-inventor of the CNN, and Tamás Roska are both highly respected pioneers in the field.
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In this book the emerging and converging architecture of morphic cellular wave computers based on the concept of Cellular Neural/Nonlinear Network (CNN) is introduced in a practical way. The authors include descriptions of hardware architectures, software algorithms, as well as a possible new CNN cell based on memristor. The first single chip cellular wave computer- a vision system on a chip (VSoC) is also discussed. Cellular Nanoscale Sensory Wave Computing is a result of a Multidisciplinary University Research Initiative (MURI) project that has been funded by the Office of Naval Research and completed recently. The results manifest a new way of thinking about sensory computing, as well as it is one of the first successful attempts to bridge the gap between nanoscale (smaller than 100 nm) devices and CMOS integrated circuits with stored programmable algorithms and software on the system level.
Computer network architectures. --- Nanoelectronics. --- Neural networks (Computer science). --- Neural networks (Computer science) --- Computer network architectures --- Nanoelectronics --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Electrical Engineering --- Computer Science --- Computer science. --- Nanoscale electronics --- Nanoscale molecular electronics --- Informatics --- Engineering. --- Solid state physics. --- Spectroscopy. --- Microscopy. --- Electronics. --- Microelectronics. --- Electronic circuits. --- Optical materials. --- Electronic materials. --- Electronics and Microelectronics, Instrumentation. --- Solid State Physics. --- Spectroscopy and Microscopy. --- Optical and Electronic Materials. --- Circuits and Systems. --- Electronics --- Nanotechnology --- Science --- Systems engineering. --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Optics --- Materials --- Electrical engineering --- Physical sciences --- Design and construction --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronic materials --- Analysis, Microscopic --- Light microscopy --- Micrographic analysis --- Microscope and microscopy --- Microscopic analysis --- Optical microscopy --- Analysis, Spectrum --- Spectra --- Spectrochemical analysis --- Spectrochemistry --- Spectrometry --- Spectroscopy --- Chemistry, Analytic --- Interferometry --- Radiation --- Wave-motion, Theory of --- Absorption spectra --- Light --- Spectroscope --- Physics --- Solids --- Qualitative --- Analytical chemistry
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