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Analytical model for the mean weight behavior of adaptive interpolated-FIR filters using the constrained filtered LMS algorithm

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2 Author(s)
Tobias, Orlando J. ; Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianopolis, Brazil ; Seara, R.

This paper presents an analytical model for the mean weight behavior of adaptive interpolated-FIR filters using the constrained filtered LMS algorithm. The introduction of an interpolating block cascaded with the adaptive sparse filter imposes that the input signal correlation must be considered. It is well known that such correlation is disregarded by the independence theory, which is the base for the analysis of the ordinary LMS algorithm. In addition, the effect of the IFIR topology on the model is accounted using a constrained approach. Experimental results demonstrate the effectiveness of the proposed analytical model as compared to classical analysis

Published in:

Adaptive Systems for Signal Processing, Communications, and Control Symposium 2000. AS-SPCC. The IEEE 2000

Date of Conference:

2000