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We present a general family of frequency adaptive algorithms; it is based on the minimization of the gradient of the k-th absolute power of the overall frequency error. We use a context of plant identification to develop the adaptive equations, to establish their averaged versions and to find the convergence conditions. A general discussion of performance is also given. Finally, we verify the obtained results for the first four algorithms by means of some computer simulations.
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87. (Volume:12 )
Date of Conference: Apr 1987