Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICASSP.2010.5495792 | 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING |
Keywords | Field | DocType |
Kolmogorov structure function, periodogram smoothing, total-variance reduction, thresholding, cepstral statistics | Signal processing,Mel-frequency cepstrum,Bayesian information criterion,Pattern recognition,Computer science,Smoothing,Artificial intelligence,Kolmogorov structure function,Thresholding,Covariance matrix,Bayesian probability | Conference |
ISSN | Citations | PageRank |
1520-6149 | 1 | 0.39 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ciprian Doru Giurcaneanu | 1 | 43 | 12.44 |
| Seyed Alireza Razavi | 2 | 42 | 7.77 |