Non-Recursive Wavelet Transforms in र ሺ Ժ ܋ ሻ
Xiaoxin Li, Deyu Qi, Qian Zhengping · 2008
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 l ଶ ሺ Ժ ሻ and propose a new NRWT theory based on 6 different downsampling modes in l ଶ ሺ Ժ ሻ . 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, ଷஸஸଶ , through the analysis of redundancy degree and point out that ଶ is optimal and the redundancy degrees of ଶ and are identical. The analysis of redundancy degree offers a method to choose the NRWT mode.