【正文】
小波的選擇,需要注意具有良好的正則性。利用小波包進(jìn)行圖像壓縮一維小波分析用于信號奇異性檢測 (1)信號中的奇異點(diǎn)及不規(guī)則突變部分經(jīng)常帶有比較重要的信息,例如在故障診斷中,故障通常表現(xiàn)為輸出信號發(fā)生突變。二維小波分析用于圖像增強(qiáng)216。一維小波分析用于用于信號消噪處理216。有利于數(shù)據(jù)壓縮;(4) 正則性。ll select a suitable number of levels based on the nature of the signal, or on a suitable criterion such as entropy Wavelet ReconstructionThe process of Assembling these ponents back into the original signal without loss of information is called reconstruction, or synthesis. The mathematical manipulation that effects synthesis is called the inverse discrete wavelet transform (IDWT)Reconstruction FiltersThe downsampling of the signal ponents performed during the deposition phase introduces a distortion called aliasing. It turns out that by carefully choosing filters for the deposition and reconstruction phases that are closely related (but not identical), we can cancel out the effects of aliasing. Reconstruction of Approximations and Details(1)Reconstruct our original signal from the coefficients of the approximations and details.Reconstruct the approximations and details themselves fro