VLSI Design for Convolutive Blind Source Separation

Jia Ching Wang, Chien Yao Wang, Tzu Chiang Tai, Min Shih, Shao Chieh Huang, Ying Chuan Chen, Yan Yu Lin, Li Xun Lian

研究成果: 雜誌貢獻期刊論文同行評審

3 引文 斯高帕斯(Scopus)

摘要

This brief presents an efficient very-large-scale integration architecture design for convolutive blind source separation (CBSS). The CBSS separation network derived from the information maximization (Infomax) approach is adopted. The proposed CBSS chip design consists mainly of Infomax filtering modules and scaling factor computation modules. In an Infomax filtering module, input samples are filtered by an Infomax filter with the weights updated by Infomax-driven stochastic learning rules. As for the scaling factor computation module, all operations including logistic sigmoid are integrated and implemented by the circuit design based on a piecewise-linear approximation scheme. The proposed prototype chip is implemented via a semi-custom design using 90-nm CMOS technology on a die size of approximately 0.54×0.54mm2.

原文???core.languages.en_GB???
文章編號7206567
頁(從 - 到)196-200
頁數5
期刊IEEE Transactions on Circuits and Systems II: Express Briefs
63
發行號2
DOIs
出版狀態已出版 - 2月 2016

指紋

深入研究「VLSI Design for Convolutive Blind Source Separation」主題。共同形成了獨特的指紋。

引用此