K. Matsuura et al., Adaptive line enhancers on the basis of least-squares algorithm for a single sinusoid detection, IEICE T FUN, E82A(8), 1999, pp. 1536-1543
Citations number
9
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
This paper proposes adaptive line enhancers with new coefficient update alg
orithms on the basis of least-square-error criteria. Adaptive algorithms by
least-squares are known to converge faster than stochastic-gradient ones.
However they have high computational complexity due to matrix inversion. To
avoid matrix inversion the proposed algorithms adapt only one coefficient
to detect one sinusoid. Both FIR and IIR types of adaptive algorithm are pr
esented, and the techniques to reduce the influence of additive noise is de
scribed in this paper. The proposed adaptive line enhancers have simple str
uctures and show excellent convergence characteristics. While the convergen
ce of gradient-based algorithms largely depend on their stepsize parameters
, the proposed ones are free from them.