DocumentCode :
891642
Title :
Efficient Hamming weight comparators of binary vectors
Author :
Piestrak, S.J.
Author_Institution :
Lab. LICM, Univ. of Metz, Metz
Volume :
43
Issue :
11
fYear :
2007
Firstpage :
611
Lastpage :
612
Abstract :
New comparators of the Hamming weight of binary vectors built using threshold circuits are proposed. One version compares the Hamming weight of a binary vector to a fixed threshold, whereas the other compares the Hamming weights of two independent vectors. Their applications include digital neural networks, pattern matching and median/rank filters.
Keywords :
comparators (circuits); median filters; network synthesis; neural nets; pattern matching; vectors; Hamming weight comparators; binary vectors; digital neural networks; median-rank filters; pattern matching;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:20070141
Filename :
4216349
Link To Document :
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