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Document Type : Latin Dissertation
Language of Document : English
Record Number : 153998
Doc. No : ET25790
Main Entry : Jonathan Johnson Yeboah, Jr.
Title Proper : Recursive Cellular Nonlinear Neural Networks for Ultra-low Noise Digital Arithmetic.POMPES PAR TRANSITIONS MULTIPLES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : In recent years, there has been a great deal of interest in the design of asynchronousarithmetic systems based on the use of self-timing components. Both the increase incomponent density of monolithic circuits and the drop in supply voltage are fueling thequest for novel ways of designing systems that are capable of performing digitalcomputation with relatively low noise in a mixed-signal environment..
Subject : Electericl tess
: برق
electronic file name : TL50059.pdf
Title and statement of responsibility and : Recursive Cellular Nonlinear Neural Networks for Ultra-low Noise Digital Arithmetic.POMPES PAR TRANSITIONS MULTIPLES [Thesis]
 
 
 
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