Non-Recursive Wavelet Transforms in l2(Zc+)

Xiaoxin Li, Deyu Qi, Zhengping Qian
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Abstract

Today, almost all of the implementations of the discrete wavelet transforms are based on the recursive way. However, non-recursive wavelet transforms (NRWT) are more effective and more flexible. We extend the NRWT theory in lscr2 (Z) and propose a new NRWT theory based on 6 different downsampling modes in lscr2 (Zc +). This extending makes NRWT more practical and can be compatible with the traditional recursive wavelet transform. We study the properties of the NRWT under the 6 downsampling modes, W-3leskles2, through the analysis of redundancy degree and point out that W-2 is optimal and the redundancy degrees of W-2 and W0 are identical. The analysis of redundancy degree offers a method to choose the NRWT mode.
l2(Zc+)中的非递归小波变换
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