FREQUENCY-DOMAIN ANALYSIS OF TRACKING AND NOISE PERFORMANCE OF ADAPTIVE ALGORITHMS

In this paper an analysis of the tracking and noise performance of sev eral adaptive algorithms is carried ant for the case of model structur es with fixed pale positions, Such structures have recently been propo sed as an efficient generalization of the common FIR model structure. The focus of this work is to analyze the associated tradeoff between n oise sensitivity and tracking ability in the frequency domain by illus trating how it is influenced by such things as input and noise spectra l densities, step size, and-what is the main focus of this paper-the c hoice of the fixed pole locations, The latter influence is aot describ ed by pre-existing analysis but is shown here to be amenable to attack bg a particular class of orthonormal bases.