BLIND SOURCE-SEPARATION IN MIXED-SIGNAL VLSI

被引：0

作者：

Valenzuela, Waldo ^{[1
]}

Carvajal, Gonzalo ^{[1
]}

Figueroa, Miguel ^{[1
]}

机构：

[1] Univ Concepcion, Dept Elect Engn, Concepcion, Chile

来源：

NEURAL NETWORK WORLD | 2009年 / 19卷 / 05期

关键词：

Independent components analysis; InfoMax; Kurtosis; mixed-signal VLSI; low-power CMOS; on-chip learning; adaptive silicon circuits; INDEPENDENT COMPONENT ANALYSIS; ALGORITHMS; INFOMAX;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes an implementation of the Kurtosis and InfoMax algorithms for an independent components analysis in mixed-signal CMOS. Our design uses on-chip calibration techniques and local adaptation to compensate for the effect of device mismatch in arithmetic blocks and analog memory cells. We use our design to perform two-input blind source-separation on mixtures of audio signals and mixtures of EEG signals. Our experiments show that the hardware implementation of InfoMax consistently separates the signals within a normalized reconstruction error of less than 10%, while the reconstruction error of Kurtosis varies between 25% and 60%, due to its higher sensitivity to device mismatch and input statistics. Each circuit has a settling time of 8 mu s, occupies a die area of 0.016-0.022 mm(2) and dissipates 15-20 mu W of power.

引用

页码：641 / 656

页数：16