摘要
利用小波变换的时 频局部化性质,对激光探测水下声场弱信号进行正交分解,得到在各个尺度下的细化信号及平滑信号,从而对信号进行全面细致的分析.实验结果表明:小波分析方法适合于微弱信号的检测和特征提取,在改善了信噪比的同时,还保持了很高的时间(空间)分辨率.小波分析具有准确度高,抗噪声性能好,检测范围宽,灵活方便等优点.
With the localizing character of wavelet transform, an acoustic signal from water surface, using laser reflected light, can be decomposed into the minutia part of every scale by using the principle of multiresolution analysis, and then it can be analyzed roundly and meticulously. The results of experiment show that wavelet analysis has the great ability high capability of noise rejection and is fit for faint signal detection and feature extraction. The result after noise elimination not only improves the ratio of the signal to noise, but also makes the time or space resolution remain high. The wavelet analysis is also dynamic and accurate.
出处
《烟台大学学报（自然科学与工程版）》
CAS
2003年第2期99-103,共5页
Journal of Yantai University(Natural Science and Engineering Edition)
基金
国家自然科学基金资助项目(69807003)
国防科技预研基金资助项目(00J3.5.1.QT0701).
