匹配追踪方法在超声检测信号去噪中的应用

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。

Denoising of Ultrasonic Testing Signals by Matching Pursuits

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.