On the performance of a HOS-based ICA algorithm in BSS of acoustic emission signals

被引：0
|
作者：
Puntonet, CG [1 ]
de-la-Rosa, JJG
Lloret, I
Górriz, JM
机构：
[1] Univ Granada, Dept Architecture & Comp Technol, ESII, E-18071 Granada, Spain
[2] Univ Cadiz, Elect Area, Res Grp TIC168, EPSA, Algeciras Cadiz, Spain
来源：
INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION, PROCEEDINGS | 2006年 / 3889卷
关键词：
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：
A cumulant-based independent component analysis (Cum-ICA) is applied for blind source separation (BSS) in a synthetic, multi-sensor scenario, within a non-destructive pipeline test. Acoustic Emission (AE) sequences were acquired by a wide frequency range transducer (100-800 kHz) and digitalized by a 2.5 MHz, 8-bit ADC. Four common sources in AE testing are linearly mixed, involving real AE sequences, impulses and parasitic signals from human activity. A digital high-pass filter achieves a SNR up to -40 dB.
引用
收藏
页码：400 / 405
页数：6
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