Title
Asymptotic behavior of the minimum mean squared error threshold fornoisy wavelet coefficients of piecewise smooth signals
Abstract
This paper investigates the asymptotic behavior of the minimum risk threshold for wavelet coefficients with additive, homoscedastic, Gaussian noise and for a soft-thresholding scheme. We start from N samples from a signal on a continuous time axis. For piecewise smooth signals and for N→∞, this threshold behaves as C√(2logN)σ, where σ is the noise standard-deviation. The paper contains an original proof for this asymptotic behavior as well as an intuitive explanation. The paper also discusses the importance of this asymptotic behavior for practical cases when we estimate the minimum risk threshold
Year
DOI
Venue
2001
10.1109/78.923292
IEEE Transactions on Signal Processing
Keywords
Field
DocType
continuous time axis,practical case,piecewise smooth signal,asymptotic behavior,intuitive explanation,error threshold fornoisy wavelet,minimum risk threshold,noise standard-deviation,original proof,Asymptotic behavior,N sample,Gaussian noise
Mathematical optimization,Mean squared error,Estimation theory,Gaussian noise,Asymptotic analysis,Piecewise,Mathematics,Wavelet transform,Estimator,Wavelet
Journal
Volume
Issue
ISSN
49
6
1053-587X
Citations 
PageRank 
References 
8
0.89
4
Authors
2
Name
Order
Citations
PageRank
Maarten Jansen111915.20
A. Bultheel211717.02