DocumentCode :
3420424
Title :
A modified clean algorithm does L1-denoising
Author :
Solo, Victor
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
3665
Lastpage :
3668
Abstract :
The CLEAN algorithm is one of the best known signal processing algorithms in (radio-)astronomy. It is essentially a deconvolution procedure and is used e.g. to reconstruct a sparse (star) brightness distribution from noisy (´dirty´ - hence ´cleaning´) observed data. In this paper we make a connection for the first time between CLEAN and l1-denoising. We show CLEAN does a crude version of l1-denoising and develop a modified algorithm with much improved behaviour.
Keywords :
deconvolution; radioastronomical techniques; signal denoising; deconvolution procedure; l1-denoising; modified CLEAN algorithm; radio-astronomy; signal processing algorithms; sparse star brightness distribution; Australia; Convergence; Deconvolution; Estimation; Image processing; Image reconstruction; Iterative algorithms; Least squares methods; Linear regression; Signal processing algorithms; CLEAN; estimation; l1 denoising; sparse;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4518447
Filename :
4518447
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=3420424
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