DocumentCode
3636221
Title
On the use of Kolmogorov structure function for periodogram smoothing
Author
Ciprian Doru Giurcăneanu;Seyed Alireza Razavi
Author_Institution
Tampere University of Technology, Department of Signal Processing, P.O. Box 553, FIN-33101, Finland
fYear
2010
fDate
3/1/2010 12:00:00 AM
Firstpage
3966
Lastpage
3969
Abstract
In a recent series of papers, it was shown how the periodogram can be smoothed by thresholding the estimated cepstral coefficients either with a carefully designed uniformly most powerful unbiased test (UMPUT), or with the Bayesian information criterion (BIC). In this paper, we devise a fully automatic scheme that selects the threshold by using the Kolmogorov structure function (KSF). For the numerical examples taken from the previous literature, the newly proposed method compares favorably with the existing schemes.
Keywords
"Smoothing methods","Cepstral analysis","Signal processing","TV","Testing","Bayesian methods","Statistics","Time measurement","Frequency","Instruments"
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
2379-190X
Type
conf
DOI
10.1109/ICASSP.2010.5495792
Filename
5495792
Link To Document