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