匹配追踪方法在超声检测信号去噪中的应用
Denoising of Ultrasonic Testing Signals by Matching Pursuits
摘 要
超声检测中回波信号的噪声抑制对于正确分析材料的内部属性至关重要。匹配追踪方法把信号表示成与其结构匹配波形（原子）的线性展开。它能够自适应提取和原子相关的信号结构，从而实现了噪声抑制。超声信号处理中，根据回波特点，采用与其结构相似的Gabor原子，能够有效匹配超声信号中的回波信息。分别对不同信噪比下的仿真信号和试验信号用Gabor原子库进行匹配追踪方法去噪处理，并和小波去噪效果进行了比较。试验结果表明，利用该方法进行超声信号去噪处理能取得比小波去噪更好的效果。
匹配追踪
去噪
小波
Ultrasonic testing
Matching pursuit
Denoise
Wavelet
Abstract
Denoising of ultrasonic testing signal is very important to analysis inner properties of tested materials. Matching pursuits decomposes any signal into a linear expansion of waveforms (atoms) that best match the signal structures. Then it isolates signal structures adaptively that coherent with respect to a given atoms dictionary and realizes denoising. In ultrasonic testing, the atoms is choosen as Gabor functions based on the model of ultrasonic echo signal, and the atoms can match the ultrasonic testing signals well. Simulated signal as well as experienced signal are used to testing the efficiency of matching pursuits denoising, and compared with wavelet transform denoising. The result shows that matching pursuits do a well job in denoising of ultrasonic noisy signals.
中图分类号 TG115.28
所属栏目 科研成果与学术交流
基金项目
收稿日期 2005/5/23
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备注杜秀丽(1977~)，女，博士研究生，从事超声检测系统设计及信号处理、模式识别等研究。
引用该论文: DU Xiu-li,SHEN Yi. Denoising of Ultrasonic Testing Signals by Matching Pursuits[J]. Nondestructive Testing, 2006, 28(8): 409～412
杜秀丽,沈 毅. 匹配追踪方法在超声检测信号去噪中的应用[J]. 无损检测, 2006, 28(8): 409～412
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参考文献
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【3】毛 捷.信号处理在超声检测中的应用［J］.应用声学,2000,19(3):45-47.
【4】Cardoso G, Saniie J. Optimal wavelet estimation for data compression and noise suppression of ultrasonic NDE signals［J］. IEEE Ultrasonic Symposium,2001,(1):675-678.
【5】Ericssen L, Stepinski T. Algorithms for suppressing ultrasonic backscattering from material structure［J］. Ultrasonics,2002,40(1-8):733-734.
【6】陈建忠.粗晶材料超声检测信号处理［J］.核动力工程,2000,21(2):183-187.
【7】施克仁.超声检测信号处理［J］.无损检测,1994,16(5):141-144.
【8】Mallat SG, Zhang Z. Matching pursuits with time-frequency dictionaries［J］. IEEE Transaction on Signal Processing,1993,41(2):3397-3414.
【9】Leone A. A powerful method for feature extraction and compression of electronic nose responses［J］. Sensors Actuators,2005,105(2):378-392.
【10】刘庆云.基于Matching Pursuit算法的信号参量估计［J］.声学与电子工程,2002,(4):25-29.
【11】Hongyu Yang. Fault diagnosis of rolling element bearings using basis pursuit［J］. Mechanical Systems and Signal Processing,2005,19(2):341-356.
【12】Demirli R. Model based time-trequency estimation of ultrasonic echoes for NDE applications［J］. IEEE Ultrasonic Symposium,2000,(1):785-788.
【13】马宏伟.小波变换在超声检测信号去噪中的应用［J］.无损检测,2004,26(2):68-71.
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