Title :
Analysis of an information theoretic criterion for cepstral nulling
Author :
Giurcaneanu, C.D. ; Razavi, Seyed Ali
Author_Institution :
Dept. of Stat., Univ. of Auckland, Auckland, New Zealand
Abstract :
Cepstral nulling, one of the newest methods for smoothing the peri-odogram, amounts to turning to zero the cepstrum estimates whose magnitudes are smaller than a threshold. Up to now, the performance of various thresholding schemes was evaluated only empirically. In this paper, we analyze theoretically a slightly modified variant of a thresholding criterion which is based on Kolmogorov structure function (KSF). The motivation of this work is twofold: (i) KSF expression is more complicated than formulas of other criteria; (ii) KSF derivation relies on novel concepts from information theory which are not well-known in the signal processing community. We illustrate the theoretical results by numerical examples.
Keywords :
signal processing; KSF; Kolmogorov structure function; cepstral nulling; information theoretic criterion analysis; periodogram smoothing; signal processing community; thresholding criterion; thresholding schemes; Broadband communication; Cepstrum; Dynamic range; Mathematical model; Signal processing; Smoothing methods; Bayesian information criterion; Kol-mogorov structure function; Periodogram; cepstral nulling; uniformly most powerful unbiased test;
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
Conference_Location :
Beijing
DOI :
10.1109/ChinaSIP.2013.6625285