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《Journal of Data Acquisition & Processing》 2001-01
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Multiresolution Data Fusing Based on Wavelet Theory

Hu Zhanhu (Department of Mathematics, Nanjing University Nanjing 210093,P.R.China) Li Yanjun (College of Astronautics, Northwestern Polytechnical University Xi′an 710072,P.R.China)  
Wavelet transform is very suitable for processing multiscale signals, and it can be used in multiresolution data fusion. In this paper algorithms based on wavelet packets for multiresolution data fusion are proposed, which are efficient and highly parallelizable. So it avoids big matrix computations, and also has effective performances without assuming wavelet coefficients to be white noises. Because of the character of linear phase of biorthogonal wavelet, the algorithm based on biorthogonal wavelet packets can overcome the drawback of signal distortion caused by orthogonal wavelet packets transform which is nonlinear phase. Simulation verifies that the performance of multiscale data filtering is improved through the utility of biorthogonal wavelet packets transform.
【CateGory Index】: TP212
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