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从信号处理的角度给出了小波变换的工程理解。小波变换可以看作从原始信号中不断抽取细节，最终只留下信号主干的过程。用小波变换对噪声材料粗晶奥氏体不锈钢中人工缺陷的超声Ａ型信号处理的结果表明，在对小波系数合理解释的情况下，小波变换能有效地提高信噪比。
From the perspective of signal processing, the engineering understanding of wavelet transform is given. Wavelet transform can be seen as continuous extraction of details from the original signal, leaving only the signal backbone of the final process. The results of ultrasonic A-type signal processing of artificial defects in coarse-grained austenitic stainless steel by wavelet transform show that the wavelet transform can effectively improve the signal-to-noise ratio when the wavelet coefficients are reasonably explained.