Frequency-domain analysis of discrete wavelet transform coefficients and their adaptive shrinkage for anti-aliasing

Author(s):  
Eunjung Chae ◽  
Eunsung Lee ◽  
Wonseok Kang ◽  
Younghoon Lim ◽  
Junghoon Jung ◽  
...  
Author(s):  
HIROSHI TODA ◽  
ZHONG ZHANG ◽  
TAKASHI IMAMURA

The theorems, giving the condition of perfect translation invariance for discrete wavelet transforms, have already been proven. Based on these theorems, the dual-tree complex discrete wavelet transform, the 2-dimensional discrete wavelet transform, the complex wavelet packet transform, the variable-density complex discrete wavelet transform and the real-valued discrete wavelet transform, having perfect translation invariance, were proposed. However, their customizability of wavelets in the frequency domain is limited. In this paper, also based on these theorems, a new type of complex discrete wavelet transform is proposed, which achieves perfect translation invariance with high degree of customizability of wavelets in the frequency domain.


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