摘  要：小波變換具有表征信號(hào)局部特征的能力，適于分析信號(hào)中的瞬態(tài)和奇異現(xiàn)象，并可展示其成份,所以采用小波多分辨率分析方法對(duì)激光回波弱信號(hào)進(jìn)行處理。利用這種方法,可以有效消除噪聲,提取有用的信號(hào)。結(jié)果證明小波多分辨率分析對(duì)于激光回波信號(hào)處理十分有效,提高了信號(hào)分析的準(zhǔn)確性。   關(guān)鍵詞：小波變換；多分辨率分析；直接探測(cè)；回波信號(hào)；信號(hào)特征   中圖分類號(hào)：TP391.77 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：1672-4984（2007）04-0013-03   Application of wavelet multi-resolution analysis in echo signal processing of the laser rapid scanning CHEN Jin-ling1，2， XIE De-lin1， CHEN Hong-bin1， LUO Jian1，2， SHI Chuan1，2 （1.Institute of Optics and Electronics，Chinese Academy of Sciences，Chengdu 610209，China； 2.Graduate School of the Chinese Academy of Sciences，Beijing 100039，China）   Abstract: Wavelet transform has the ability of denoting local signal characteristics, so it is often use to analyze instantaneous and fantastic phenomena. In this method, noise can be eliminated and effective signals can be picked up. When applying the wavelet transform to the experiments, a satisfying result was obtained. With this method, the ability of edge detection can be greatly improved.   Key words: Wavelet transform； Multi-resolution analysis; Direct detection; Echo signal; Signal characteristics