Title :
A New Approach to Order Selection and Parametric Spectrum Estimation
Author :
Beheshti, Soosan
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, Ont.
Abstract :
One important challenge in parametric spectrum estimation is the choice of an optimum number of parameters. In this paper, we provide a new method of order selection for the spectrum density estimation denoted by data model error whiteness (DMEW) criterion. Unlike the existing methods, this approach estimates the parameters and selects the optimum order simultaneously. We demonstrate the advantages of the new method over the existing approaches
Keywords :
spectral analysis; white noise; data model error whiteness; order selection; parametric spectrum estimation; spectrum density estimation; Computer errors; Data models; Mean square error methods; Noise reduction; Optimized production technology; Parameter estimation; Parametric statistics; Random processes; Spectral analysis; White noise;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660705
