TY - JOUR
T1 - Adaptive Comb Filtering for Harmonic Signal Enhancement
AU - Nehorai, Arye
AU - Porat, Boaz
PY - 1986/10
Y1 - 1986/10
N2 - A new algorithm is presented for adaptive comb filtering and parametric spectral estimation of harmonic signals with additive white noise. The algorithm is composed of two cascaded parts. The first estimates the fundamental frequency and enhances the harmonic component in the input, and the second estimates the harmonic amplitudes and phases. Performance analysis provides new results for the asymptotic Cramer-Rao bound (CRB) on the parameters of harmonic signals with additive white noise. Results of simulations indicate that the variances of the estimates are of the same order of magnitude as the CRB for sufficiently large data sets, and illustrate the performance in enhancing noisy artificial periodic signals.
AB - A new algorithm is presented for adaptive comb filtering and parametric spectral estimation of harmonic signals with additive white noise. The algorithm is composed of two cascaded parts. The first estimates the fundamental frequency and enhances the harmonic component in the input, and the second estimates the harmonic amplitudes and phases. Performance analysis provides new results for the asymptotic Cramer-Rao bound (CRB) on the parameters of harmonic signals with additive white noise. Results of simulations indicate that the variances of the estimates are of the same order of magnitude as the CRB for sufficiently large data sets, and illustrate the performance in enhancing noisy artificial periodic signals.
UR - http://www.scopus.com/inward/record.url?scp=0022790593&partnerID=8YFLogxK
U2 - 10.1109/TASSP.1986.1164952
DO - 10.1109/TASSP.1986.1164952
M3 - Article
AN - SCOPUS:0022790593
SN - 0096-3518
VL - 34
SP - 1124
EP - 1138
JO - IEEE Transactions on Acoustics, Speech, and Signal Processing
JF - IEEE Transactions on Acoustics, Speech, and Signal Processing
IS - 5
ER -