Title :
Wavelet Packet Transform Based Minimum Risk Denoising Algorithm for Astronomical Spectra
Author :
Pan, Jingchang ; Guo, Qiang ; Jiang, Bin ; Yi, Zhenping
Author_Institution :
Shandong Univ. at Weihai, Weihai
Abstract :
The purpose of spectra denoising is to reduce the effect of noise on finding astrophysical information hidden in spectra. Various denoising approaches exist, in which wavelet transform is important. In this paper, denoising algorithms using wavelet transform is discussed and wavelet packet transform based on minimum risk denoising algorithm is presented. Experimental results show that the method produces precise estimation of spectra.
Keywords :
astronomy computing; signal denoising; spectral analysis; wavelet transforms; astronomical spectra; astrophysical information; minimum risk denoising algorithm; wavelet packet transform; Frequency shift keying; Hidden Markov models; Noise reduction; Nonlinear equations; Signal to noise ratio; Smoothing methods; Spatial resolution; Telescopes; Wavelet packets; Wavelet transforms;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.614
