Title :
Design of biorthogonal wavelets with minimum entropy
Author :
Hasan, Y.M.Y. ; Fahmy, M.F.
Author_Institution :
Dept. of Electr. Eng., Assiut Univ., Egypt
Abstract :
In this paper, the wavelet lifting principle has been used in signal compression and de-noising. This is achieved through the optimal choice of the orthogonal basis and lifting parameters of a biorthogonal system, and designed to minimize either the entropy or the dynamic range of the coefficients of the wavelet packet decomposition of the signal to be compressed. Illustrative examples are given to verify the proposed methods.
Keywords :
data compression; entropy; signal denoising; wavelet transforms; biorthogonal wavelets; minimum entropy; signal compression; signal denoising; wavelet lifting principle; wavelet packet decomposition; Biomedical signal processing; Dynamic range; Entropy; Helium; Noise reduction; Signal analysis; Signal design; Signal synthesis; Wavelet analysis; Wavelet packets;
Conference_Titel :
Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on
Print_ISBN :
0-7803-8292-7
DOI :
10.1109/ISSPIT.2003.1341051
