Title :
A new adaptive wavelet transform using lifting scheme
Author :
Han, Zhi-zhong ; Liu, Zhen-bao ; Xu, Ya-sen
Author_Institution :
Aeronaut. Coll., Northwestern Polytech. Univ., Xian, China
Abstract :
This paper presents a new adaptive wavelet transform using lifting scheme. The algorithm proposed uses interpolating method to construct a predict/update type lifting scheme based on the optimal criteria. The two-step lifting scheme is adaptively match the property of local signal at each scale. The novel framework introduced chooses the most suitable predictor and updater respectively, which differs from other adaptive methods making only one step adaptive. Numerical experiments show that the proposed transform is efficient and demonstrate the potential utility of the new adaptive wavelet transform.
Keywords :
adaptive signal processing; interpolation; wavelet transforms; adaptive wavelet transform; interpolating method; optimal criteria; predict type lifting scheme; two-step lifting scheme; Algorithm design and analysis; Discrete wavelet transforms; Noise reduction; Signal to noise ratio; Wavelet analysis; Adaptive signal processing; Lifting scheme; Signal denoising; Wavelet transform;
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0283-9
DOI :
10.1109/ICWAPR.2011.6014483