Title :
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
fDate :
2/1/1999 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
