Structure noise reduction of ultrasonic signals using artificial neural network adaptive filtering

被引：14
作者：
Liu, ZQ [1 ]
Lu, MD [1 ]
Wei, MA [1 ]
机构：
[1] TONGJI UNIV,DEPT ELECT ENGN,SHANGHAI 200092,PEOPLES R CHINA
来源：
ULTRASONICS | 1997年 / 35卷 / 04期
基金：
中国国家自然科学基金;
关键词：
adaptive filtering; flaw echo; highly scattering material; neural network;
D O I：
10.1016/S0041-624X(97)00009-7
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
A multi-layer linear neural network within the framework of adaptive FIR filtering is presented for enhancing the signal-to-noise ratios of ultrasonic signals. The backpropagation (BP) algorithm is used to train and adjust the network weights. From the results obtained on large grained materials and on composites, it is apparent that the performance of the new approach is better than those of conventional adaptive algorithms in reducing the structure noise of ultrasonic signals. (C) 1997 Elsevier Science B.V.
引用
收藏
页码：325 / 328
页数：4
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