Title :
A Homotopy Approach for Multirate Spectrum Estimation
Author :
Amini, Ali Nasiri ; Takyar, Mir Shahrouz ; Georgiou, Tryphon T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN
Abstract :
We present a technique for spectral analysis in the context of multi-rate sampling by a collection of sensors. Correlation of the time-domain samples gives rise to moment constraints for the power spectrum. A homotopy-based technique is then used to identify consistent power spectra. The spectra we obtain are at a minimum distance in the Kullback-Leibler sense to a given "prior" and the "maximum entropy" power spectrum corresponds to the special case where the prior is white
Keywords :
maximum entropy methods; sensor fusion; signal sampling; spectral analysis; time-domain analysis; Kullback-Leibler sense; homotopy approach; maximum entropy; multirate sampling; multirate spectrum estimation; sensors; spectral analysis; time-domain samples; Autocorrelation; Geologic measurements; Geophysical measurements; Nonlinear filters; Sampling methods; Sensor fusion; Spectral analysis; Statistics; Stochastic processes; USA Councils;
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.2006.1660708