Adaptive comb filtering for harmonic signal enhancement
作者： A. Nehorai , B. Porat
DOI: 10.1109/TASSP.1986.1164952
关键词:
摘要: A new algorithm is presented for adaptive comb filtering and parametric spectral estimation of harmonic signals with additive white noise. The composed two cascaded parts. first estimates the fundamental frequency enhances component in input, second amplitudes phases. Performance analysis provides results asymptotic Cramer-Rao bound (CRB) on parameters Results simulations indicate that variances are same order magnitude as CRB sufficiently large data sets, illustrate performance enhancing noisy artificial periodic signals.
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