DocumentCode :
1123494
Title :
A practical stopping rule for iterative signal restoration
Author :
Perry, Kevin M. ; Reeves, Stanley J.
Author_Institution :
Dept. of Electr. Eng., Auburn Univ., AL, USA
Volume :
42
Issue :
7
fYear :
1994
fDate :
7/1/1994 12:00:00 AM
Firstpage :
1829
Lastpage :
1833
Abstract :
Iterative signal restoration is a common and simple approach for recovering degraded signals. Unfortunately, iterative algorithms often converge slowly, and the convergence point is usually not the best restoration because of noise amplification. Therefore, a stopping rule should be imposed to maximize the effectiveness of the iterative algorithm. We demonstrate the value of randomized generalized cross-validation (RGCV) as a stopping rule for linear iterative restoration algorithms with simple initial conditions and show that it can be used on relatively small data sets with confidence. We also illustrate the performance of the RGCV criterion for various degrees of blurring and noise
Keywords :
convergence of numerical methods; iterative methods; signal processing; blurring; degraded signal recovery; initial conditions; iterative signal restoration; linear iterative restoration algorithms; noise amplification; randomized generalized cross-validation; stopping rule; Adaptive arrays; Antennas and propagation; Array signal processing; Covariance matrix; Erbium; Frequency; Interference; Signal restoration; Signal to noise ratio; White noise;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.298292
Filename :
298292
Link To Document :
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