论文信息 - Parameter estimation of exponentially damped sinusoids using higher order statistics and matrix pencil

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

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. >

Yingbo Hua | Y. Hua

[1] Tapan K. Sarkar,et al. Matrix pencil method and its performance , 1988, ICASSP.

[2] Tapan K. Sarkar,et al. Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise , 1990, IEEE Trans. Acoust. Speech Signal Process..

[3] Tapan K. Sarkar,et al. A perturbation theorem for sensitivity analysis of SVD based algorithms , 1989 .

[4] Chrysostomos L. Nikias,et al. Parameter estimation of exponentially damped sinusoids using higher order statistics , 1990, IEEE Trans. Acoust. Speech Signal Process..