Title :
Estimating a sinusoid in low SNR coloured noise
Author_Institution :
Dept. of Stat., Macquarie Univ., Sydney, NSW, Australia
Abstract :
We propose a procedure for locating a spectral line, when the signal to noise ratio is so small that the line is obscured in the periodogram (power spectrum) by the coloured background noise. The procedure can be totally automated, and most, if not all, of the computations can be done in the frequency domain.
Keywords :
parameter estimation; spectral analysis; SNR; coloured background noise; periodogram; power spectrum; signal to noise ratio; sinusoid estimation; spectral line location; Background noise; Colored noise; Fourier transforms; Frequency domain analysis; Frequency estimation; Least squares approximation; Linear regression; Signal processing algorithms; Signal to noise ratio; Statistics;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Proceedings of the 2004
Print_ISBN :
0-7803-8894-1
DOI :
10.1109/ISSNIP.2004.1417479