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
fDate :
3/1/2010 12:00:00 AM
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"
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
2379-190X
DOI :
10.1109/ICASSP.2010.5495792