Estimating the frequencies of sinusoids at low signal to noise ratios using the principal component method in tandem with the Burg algorithm

Autor:	K.R. Raghavan, S.S. Rao
Rok vydání:	2003
Předmět:	Reduction (complexity) Signal processing Signal-to-noise ratio Noise (signal processing) Computer science Astrophysics::High Energy Astrophysical Phenomena Noise reduction Principal component analysis Underwater acoustics Algorithm Signal subspace
Zdroj:	ICASSP
DOI:	10.1109/icassp.1989.266903
Popis:	The problem of estimating sinusoidal frequencies at low signal-to-noise ratios (SNRs) is considered. The principal component (PC) method has a threshold SNR of about 7 dB. A lowering of this threshold can be achieved if the PC method is cascaded with the Burg algorithm. The reduction is due to the elimination of noise from the noisy data vector, by projecting it on to signal subspace. Simulation results are presented that demonstrate the improvement in performance at low SNRs. >
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2b8d3a286d151de402b5c46a1d436d6e https://doi.org/10.1109/icassp.1989.266903 Zobrazit plný text záznamu