DocumentCode
2427932
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
Volume
4
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
694
Lastpage
698
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.614
Filename
4406476
Link To Document