Parameter estimation of exponentially damped sinusoids using higher order statistics and matrix pencil

Author

Hua, Yingbo

Author_Institution

Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia

Volume

39

Issue

7

fYear

1991

fDate

7/1/1991 12:00:00 AM

Firstpage

1691

Lastpage

1692

Abstract

It is demonstrated that the higher-order-statistics-based algorithm proposed by C.K. Papadopoulos and C.L. Nikias (see IEEE Trans. Acoust. Speech Signal Process, vol.38, no.5, p.814-24, 1990) can be improved by using the matrix pencil approach of Y. Hua and T.K. Sarkar (see IEEE Trans. Acoust. Speech Signal Process., vol.38, no.8, p.1424-36, 1990). The matrix pencil algorithm is computationally more efficient than the Papadopoulos-Nikias algorithm since the computation of the K roots of the K-degree polynomial is not needed in the matrix pencil algorithm. Furthermore, it has been shown that the matrix pencil algorithm is less sensitive to noise than the Kumaresan-Tufts method

Keywords

matrix algebra; parameter estimation; signal processing; exponentially damped sinusoids; higher-order-statistics-based algorithm; matrix pencil algorithm; parameter estimation; signal processing; Artificial intelligence; Eigenvalues and eigenfunctions; Equations; Higher order statistics; Information retrieval; Parameter estimation; Polynomials; Signal processing algorithms; Speech processing; Symmetric matrices;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.134411

Filename

134411