Removing singular signals based on continuous wavelet transforms
Ming Nan Zhao · Journal of Natural Science of Heilongjiang University · 2005
The general form of multidimensional wavelet transform was put forward. Among a series of multidimensional wavelet transforms, one proper wavelet transform was selected. By discretizing the transform of wavelet and the inverse transform of wavelet, a simply and effective numeric arithmetic can be constructed. Simulation instances showed, by dealing the 2 - dimension signals including the white noises and Outlier at the same time with dis-cretized the transform of wavelet and the inverse transform of wavelet, the white noises and Outlier in the signals can be completely wiped off, and the original signals was reconstructed.