DocumentCode
1615852
Title
Optimal linear associative memories for noise rejection
Author
Zou, Li-He ; Lu, Jun
Author_Institution
Dept. of Electr. Eng., Louisiana Tech. Univ., Ruston, LA, USA
fYear
1992
Firstpage
1373
Abstract
An approach to design of linear associative memories for rejection of colored input noise is proposed in the sense of the least mean square error. A null-space projection model, an optimal unbiased model and an optimal biased model are developed. Computer simulation results demonstrate that the proposed models have a superior noise rejection performance over the Kohonen model. Especially, the optimal unbiased and the optimal biased models show excellent efficiency
Keywords
content-addressable storage; interference suppression; noise; colored input noise; least mean square error; linear associative memories; noise rejection; null-space projection model; optimal biased model; optimal unbiased model; Associative memory; Colored noise; Computer simulation; Covariance matrix; Ear; Least squares approximation; Mean square error methods; Symmetric matrices; Vectors; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
Conference_Location
Washington, DC
Print_ISBN
0-7803-0510-8
Type
conf
DOI
10.1109/MWSCAS.1992.271084
Filename
271084
Link To Document