Paper Info
Title
Selective similarity function for VLSI analog signal processing
Abstract
The similarity calculation of two input voltages can be performed in the analog domain by means of a very compact current switch combined with a differential pair stage. Local feedforward of the current switch allows the circuit to work without the need of any external control ensuring at the same time very high selectivity. The current switch is analyzed by means of its large-signal model, since the first-order small-signal model is not enough to obtain insight into its behavior. The obtained peak cell circuit is applied to bioinspired gray-level image segmentation focal-plane processor. Other direct applications of the current switch are full-wave differential rectifiers and two-input maximum/minimum circuits.
Year
DOI
Keywords
2005
10.1109/ISCAS.2005.1465489
VLSI,cellular neural nets,feedforward neural nets,focal planes,image segmentation,VLSI,analog signal processing,bioinspired focal-plane processor,compact current switch,differential pair stage,full-wave differential rectifiers,gray-level image segmentation,large-signal model,local feedforward,peak cell circuit,selective similarity function,two-input maximum/minimum circuits
Field
DocType
ISSN
Control theory,Computer science,Voltage,Image segmentation,Electronic engineering,Electronic circuit,Very-large-scale integration,Analog signal processing,Feed forward
Conference
0271-4302
ISBN
Citations 
PageRank 
0-7803-8834-8
1
0.42
References 
Authors
3
6
Name
Order
Citations
PageRank
Jordi Madrenas115027.87
Daniel Fernández210.42
Jordi Cosp3366.25
Eduard Alarcón439164.43
Eva Vidal5266.97
Gerard Villar6267.10