Title :
Harmonic retrieval in mixed Gaussian and non-Gaussian ARMA noises
Author :
Zhang, Xian-Da ; Li, Yan-Da
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
fDate :
12/1/1994 12:00:00 AM
Abstract :
The article proposes an approach to harmonic retrieval in mixed Gaussian and non-Gaussian ARMA noises. Under the assumption of asymmetrically distributed non-Gaussian noise, the approach consists of third-order cumulant-based AR modeling of the non-Gaussian ARMA noise, followed by filtering the noisy output data, followed by fourth-order cumulant-based harmonic retrieval. The effectiveness of this approach is demonstrated through standard simulation results
Keywords :
Gaussian noise; autoregressive moving average processes; filtering theory; harmonic analysis; higher order statistics; signal processing; AR modeling; Gaussian ARMA noise; asymmetrically distributed non-Gaussian noise; filtering; fourth-order cumulant; harmonic retrieval; noisy output data; non-Gaussian ARMA noise; simulation results; third-order cumulant; Additive noise; Colored noise; Filtering; Frequency estimation; Gaussian noise; Music information retrieval; Noise generators; Power harmonic filters; Signal to noise ratio; Working environment noise;
Journal_Title :
Signal Processing, IEEE Transactions on
