Title :
New LS and SVD based methods for estimating frequencies of complex sinusoids
Author :
Moustakides, George V. ; Berberidis, Kostas
Author_Institution :
Dept. of Comput. Eng., Patras Univ., Greece
Abstract :
New least squares (LS) and singular value decomposition (SVD) based methods for the estimation of frequencies of complex sinusoids in white noise are presented. The methods are based on a new prediction problem that has some very useful properties leading to algorithms that have considerably reduced complexity. This is achieved without the sacrifice of any significant measure of performance with respect to existing methods that are based on the forward-backward predictor
Keywords :
frequency estimation; least squares approximations; prediction theory; singular value decomposition; white noise; complex sinusoids; complexity; least squares; prediction problem; singular value decomposition; white noise; Filters; Frequency estimation; Noise reduction; Polynomials; Prediction methods; Signal to noise ratio; Spectral analysis; Symmetric matrices; White noise;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393755
