Title :
CPCA: a multiplierless neural PCA
Author :
Dogaru, Radu ; Dogaru, Ioana ; Glesner, Manfred
Author_Institution :
Dept. of Appl. Electron. & Information Eng., Bucharest Polytech Univ., Romania
Abstract :
A multiplier-less neural architecture for PCA is proposed. The aim is to reduce the VLSI complexity of its implementation by eliminating the multipliers. Comparisons with standard PCA methods show no degradation in performances (in most cases they are even improved) while the reduced hardware complexity allows for efficient low power implementations.
Keywords :
VLSI; principal component analysis; CPCA; VLSI complexity; multiplierless neural PCA; Degradation; Discrete cosine transforms; Electronic mail; Hardware; Information processing; Microelectronics; Neurons; Principal component analysis; Ubiquitous computing; Very large scale integration;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1381075
