Title :
An unified prefiltering-based approach to harmonic retrieval in non-Gaussian ARMA noise
Author :
Liang, Ymg-Chang ; Zhang, Xian-Da ; Li, Yan-Da
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
The paper addresses the harmonic retrieval problem in colored noise. As contrasted to the reported studies in which Gaussian noise was assumed, the present paper concentrates on additive non-Gaussian ARMA noise. The authors propose a unified prefiltering-based approach to this problem. The approach is hybrid in the sense that 3rd-order cumulants are first used to identify the AR part of the non-Gaussian noise process, and then correlation-based high resolution methods may be used for the filtered output process to estimate the parameters of harmonics. Simulation examples are presented to demonstrate the high resolution of this approach
Keywords :
Gaussian noise; autoregressive moving average processes; correlation methods; filtering theory; harmonic analysis; higher order statistics; interference (signal); parameter estimation; signal resolution; 3rd-order cumulants; AR component; additive nonGaussian ARMA noise; colored noise; correlation-based high resolution methods; filtered output process; harmonic retrieval; nonGaussian ARMA noise; unified prefiltering-based approach; Additive noise; Automation; Colored noise; Frequency estimation; Gaussian noise; Music information retrieval; Parameter estimation; Power harmonic filters; Signal to noise ratio; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479884