DocumentCode
3546950
Title
Selective similarity function for VLSI analog signal processing
Author
Madrenas, Jordi ; Fernández, Daniel ; Cosp, Jordi ; Alarcòn, Eduard ; Vidal, Eva ; Villar, Gerard
Author_Institution
Dept. of Electron. Eng., Univ. Politecnica de Catalunya, Barcelona, Spain
fYear
2005
fDate
23-26 May 2005
Firstpage
3926
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.
Keywords
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; Biomedical signal processing; Image segmentation; MOSFETs; Mirrors; Rectifiers; Signal processing; Switches; Switching circuits; Very large scale integration; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN
0-7803-8834-8
Type
conf
DOI
10.1109/ISCAS.2005.1465489
Filename
1465489
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