Title :
Multiresolution parametric spectral estimation
Author :
Xie, Min ; Beex, A.A.
Author_Institution :
Bradley Dept. of Electr. Eng., Virginia Tech, Blacksburg, VA, USA
Abstract :
Parametric spectral estimation in conjunction with multiple band analysis is proposed for multiresolution spectral estimation. Several autoregressive estimators are compared in this multiresolution context, with the windowed recursive least squares algorithm providing better frequency tracking than the exponential forgetting least squares algorithm, and requiring fewer computations than the Burg algorithm. A multifrequency signal experiment shows that the multiresolution parametric spectral estimation method can provide better time and frequency resolution than the Morlet wavelet transform
Keywords :
least squares approximations; parameter estimation; spectral analysis; stochastic processes; time series; autoregressive estimators; frequency tracking; multiple band analysis; multiresolution parametric spectral estimation; parametric spectral estimation; windowed recursive least squares algorithm; Discrete wavelet transforms; Fourier transforms; Frequency estimation; Least squares approximation; Parameter estimation; Signal analysis; Signal processing; Signal processing algorithms; Signal resolution; Wavelet transforms;
Conference_Titel :
System Theory, 1994., Proceedings of the 26th Southeastern Symposium on
Conference_Location :
Athens, OH
Print_ISBN :
0-8186-5320-5
DOI :
10.1109/SSST.1994.287838
