000			02868nam a22004575i 4500
001			u370190
003			SIRSI
005			20160812080019.0
007			cr nn 008mamaa
008			100301s2010 xxu| s |||| 0|eng d
020			_a9780387471013 _9978-0-387-47101-3
040			_cMX-MeUAM
050		4	_aTK7888.4
082	0	4	_a621.3815 _223
100	1		_aJespers, Paul. _eauthor.
245	1	4	_aThe gm/ID Methodology, A Sizing Tool for Low-voltage Analog CMOS Circuits _h[recurso electrónico] : _bThe semi-empirical and compact model approaches / _cby Paul Jespers.
264		1	_aBoston, MA : _bSpringer US, _c2010.
300			_aXVI, 171p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAnalog Circuits and Signal Processing
520			_aHow to determine transistor sizes and currents when the supply voltages of analog CMOS circuits do not exceed 1.2V and transistors operate in weak, moderate or strong inversion? The gm/ID methodology offers a solution provided a reference transconductance over drain current ratio is available. The reference may be the result of measurements carried out on real physical transistors or advanced models. The reference may also take advantage of a compact model. In The gm/ID Methodology, a Sizing Tool for Low-Voltage Analog CMOS Circuits, we compare the semi-empirical to the compact model approach. Small numbers of parameters make the compact model attractive for the model paves the way towards analytic expressions unaffordable otherwise. The E.K.V model is a good candidate, but when it comes to short channel devices, compact models are either inaccurate or loose straightforwardness. Because sizing requires basically a reliable large signal representation of MOS transistors, we investigate the potential of the E.K.V model when its parameters are supposed to be bias dependent. The model-driven and semi-empirical methods are compared considering the Intrinsic Gain Stage and a few more complex circuits. A series of MATLAB files found on extras-springer.com allow redoing the tests.
650		0	_aEngineering.
650		0	_aComputer science.
650		0	_aSystems engineering.
650	1	4	_aEngineering.
650	2	4	_aCircuits and Systems.
650	2	4	_aProcessor Architectures.
650	2	4	_aSolid State Physics.
650	2	4	_aSpectroscopy and Microscopy.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387471006
830		0	_aAnalog Circuits and Signal Processing
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-0-387-47101-3
596			_a19
942			_cLIBRO_ELEC
999			_c198070 _d198070