Blind Signal Noise Separation on Instant Mixing Nonlinear Circuits Based on MISEP Algorithm

被引：0

作者：

Cui X. ^{[1
]}

Zhu L. ^{[1
]}

Li X. ^{[1
]}

机构：

[1] The Key Laboratory of Integrated Microsystems, Shenzhen Graduate School of Peking University, Shenzhen

来源：

Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2018年 / 30卷 / 07期

关键词：

Blind signal separation; Compound noise; Minimizing mutual information; MISEP; Nonlinear circuits;

D O I：

10.3724/SP.J.1089.2018.16729

中图分类号：

学科分类号：

摘要：

This paper proposes a mutual information based blind signal noise separation algorithm of nonlinear circuit, to compensate the measured circuit signals. For the instant mixing non-linear circuits, this method constructs the multilayer perceptron network by feedback cascading the signal separation block and the parameter adjustment block; aiming at the minimum mutual information, it trains the network using the measured circuit signals with random noises, until the cost function value converges to pre-set error range; then the trained network is applied to the blind signal noise separation for the nonlinear circuits. The experimental results on the fore-nonlinear circuit, the post-nonlinear circuit and the single-stage amplifier circuit show that the signals and noises separated from this method approximately follows the circuit inputs on the time domain waveforms and power spectrum characteristics. © 2018, Beijing China Science Journal Publishing Co. Ltd. All right reserved.

引用

页码：1374 / 1382

页数：8

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