Title :
Experimental comparison of two information-theoretic spectral estimators
Author :
Papademetriou, R.C.
Author_Institution :
Dept. of Electr. & Electron. Eng., Portsmouth Univ., UK
Abstract :
The use of the minimum cross-entropy (MCE) principle in spectrum estimation, resulting in an information-theoretic method that explicitly includes prior spectral information, has followed two philosophically different pathways leading to two distinct estimators, cross-entropy (CE) and spectral cross-entropy (SCE) respectively. These estimators are compared experimentally, regarding resolvability and fidelity. The data model assumed consists of two equal-amplitude sinusoidal signals, immersed in 1/f noise. The CE estimator appears to have evident superiority in this study
Keywords :
1/f noise; data models; minimum entropy methods; parameter estimation; signal processing; spectral analysis; 1/f noise; data model; equal-amplitude sinusoidal signals; fidelity; information theory; minimum cross-entropy; resolvability; spectral cross-entropy; spectral estimators; Autocorrelation; Background noise; Data models; Entropy; Finite impulse response filter; Frequency; Noise level; Random variables; Signal resolution; Spectral analysis;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770170
