信號(hào)包絡(luò)提取方法從希爾伯特變換到小波變換
THE METHODS OF EXTRACTING SIGNAL ENVELOPEFROM HILBERT TRANSFORM TO WAVELET TRANSFORM
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摘要: 本文分別討論了希爾伯特變換和小波變換的原理、性質(zhì)和在提取信號(hào)包絡(luò)方面的應(yīng)用,并進(jìn)行了分析、對(duì)比;說明了小波變換(采用已調(diào)高斯小波)除了能夠?qū)π盘?hào)實(shí)現(xiàn)正交、提取包絡(luò)外,還具有帶通濾波的功能;從而能提取出優(yōu)于希爾伯特變換的信號(hào)包絡(luò)。
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關(guān)鍵詞:
- 信號(hào)處理; 小波; 希爾伯特變換
Abstract: The principles, properties of Hilbert transform and wavelet transform and their applications to extracting signal envelope are discussed respectively. Some comparisons are made to illustrate that modulated Gaussian wavelet transform not only can orthogonalize signal, but also has band-pass filtering function, so it is a more ideal method for extracting signal envelope in contrast with Hilbert transform. -
雷繼堯,何世德,等.工程信號(hào)處理技術(shù).重慶大學(xué)出版社,1990,96-97.[2]秦前清,楊宗凱.實(shí)用小波分析.西安電子科技大學(xué)出版社,1994, 1-17.[3][l美] 崔錦泰著,程正興,譯.小波分析導(dǎo)論.西安交通大學(xué)出版社,1995,80-86 -
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