Analog CMOS implementation of nonholonomic ICA algorithm with automatic offset compensation

Author

Cho, Ki-Seok ; Lee, Soo-Young

Author_Institution

Dept. of Biosyst. & Brain Sci. Res. Center, Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea

Volume

1

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

279

Abstract

Analog implementations of neural networks suffers from non-ideal characteristics such as multiplier offsets and limited dynamic ranges. The multiplier offsets in analog hardware are analyzed and compensated. The output SNRs are improved by about 15dB with proposed offset compensation techniques. Analog CMOS circuits under subthreshold operation are also developed to realize 12-channel nonholonomic ICA algorithm, which maintains proper scales of unmixing matrix values.

Keywords

CMOS analogue integrated circuits; independent component analysis; matrix algebra; neural nets; analog CMOS implementation; automatic offset compensation; complementary metal-oxide-semiconductor; independent component analysis; multiplier offsets; neural networks; neuromorphic system; nonholonomic ICA algorithm; unmixing matrix values; Biological neural networks; CMOS analog integrated circuits; CMOS technology; Dynamic range; Hardware; Independent component analysis; Information theory; Maintenance engineering; Neuromorphics; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1279265

Filename

1279265