000			03270nam a22005295i 4500
001			978-1-4419-1011-0
003			DE-He213
005			20140220084504.0
007			cr nn 008mamaa
008			100715s2010 xxu| s |||| 0|eng d
020			_a9781441910110 _9978-1-4419-1011-0
024	7		_a10.1007/978-1-4419-1011-0 _2doi
050		4	_aTK7800-8360
050		4	_aTK7874-7874.9
072		7	_aTJF _2bicssc
072		7	_aTEC008000 _2bisacsh
072		7	_aTEC008070 _2bisacsh
082	0	4	_a621.381 _223
100	1		_aBaatar, Chagaan. _eeditor.
245	1	0	_aCellular Nanoscale Sensory Wave Computing _h[electronic resource] / _cedited by Chagaan Baatar, Wolfgang Porod, Tamás Roska.
264		1	_aBoston, MA : _bSpringer US, _c2010.
300			_aVIII, 249p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aA Brief History of CNN and ONR -- Cellular Wave Computing in Nanoscale via Million Processor Chips -- Nanoantenna Infrared Detectors -- Memristors: A New Nanoscale CNN Cell -- Circuit Models of Nanoscale Devices -- A CMOS Vision System On-Chip with Multi-Core, Cellular Sensory-Processing Front-End -- Cellular Multi-core Processor Carrier Chip for Nanoantenna Integration and Experiments -- Circuitry Underlying Visual Processing in the Retina -- Elastic Grid-Based Multi-Fovea Algorithm for Real-Time Object-Motion Detection in Airborne Surveillance -- Low-Power Processor Array Design Strategy for Solving Computationally Intensive 2D Topographic Problems.
520			_aIn 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.
650		0	_aEngineering.
650		0	_aElectronics.
650		0	_aSystems engineering.
650		0	_aOptical materials.
650	1	4	_aEngineering.
650	2	4	_aElectronics and Microelectronics, Instrumentation.
650	2	4	_aSolid State Physics.
650	2	4	_aSpectroscopy and Microscopy.
650	2	4	_aOptical and Electronic Materials.
650	2	4	_aCircuits and Systems.
700	1		_aPorod, Wolfgang. _eeditor.
700	1		_aRoska, Tamás. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441910103
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4419-1011-0
912			_aZDB-2-ENG
999			_c110295 _d110295