Title :
Zero-tracking adaptive filters
Author :
Orfanidis, Sophocles J. ; Vail, Loy Maugh
Author_Institution :
Rutgers University, Piscataway, NJ, USA
fDate :
12/1/1986 12:00:00 AM
Abstract :
A new type of adaptive filter is proposed which can directly estimate and track its own zeros. The adaptation algorithm adapts the zeros of the filter and hence, indirectly, the filter coefficients. To first order in the adaptation parameter, the new algorithm is equivalent to the usual LMS algorithm, and thus it shares the same convergence properties with the latter. The cases of adaptive prediction, the adaptive Pisarenko method, and adaptive point-source location are discussed in detail.
Keywords :
Adaptive filters; Data mining; Frequency estimation; Frequency response; Least squares approximation; Power harmonic filters; Prediction methods; Sensor arrays; Signal processing; Signal processing algorithms;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1986.1164995