A higher-order statistics-based adaptive algorithm for line enhancement

Author

Ibrahim, Hosny M. ; Gharieb, Reda R. ; Hassan, Mohamed M.

Author_Institution

Dept. of Electr. Eng., Assiut Univ., Egypt

Volume

47

Issue

2

fYear

1999

fDate

2/1/1999 12:00:00 AM

Firstpage

527

Lastpage

532

Abstract

A novel higher order statistics (HOS) based adaptive filtering algorithm for line enhancement is suggested. The enhancement process is achieved by filtering the noisy signal through an adaptive FIR filter. The steady state of the impulse response of this filter is proportional to a selected one-dimensional (1-D) slice of the fourth-order mixed cumulant of the input signal. It is shown that this slice is comprised of noiseless sinusoids if the input signal is comprised of sinusoids embedded in Gaussian noise. Therefore, the algorithm is considered to be a suitable one in processing sinusoids embedded in highly colored Gaussian noise. Simulation results verify the performance of the proposed algorithm

Keywords

FIR filters; Gaussian noise; adaptive filters; higher order statistics; spectral analysis; adaptive FIR filter; adaptive filtering algorithm; fourth-order mixed cumulant; higher-order statistics-based adaptive algorithm; highly colored Gaussian noise; impulse response; input signal; line enhancement; noiseless sinusoids; noisy signal; one-dimensional slice; steady state; Adaptive algorithm; Adaptive filters; Finite impulse response filter; Gaussian noise; Higher order statistics; Parameter estimation; Signal processing; Signal processing algorithms; Signal to noise ratio; Speech processing;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.740137

Filename

740137