Improved convergence of gradient algorithms for adaptive IIR filters
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
The introduction of a simple correction term in gradient algorithms for adaptive IIR filtering is shown to improve their convergence and robustness. The error surface, i.e. the mean-squared value of the output error as a function of adaptive coefficients, is quadratic in adaptive FIR (finite-impulse-response) filtering, and thus a simple gradient search works well. This is not the case in adaptive IIR (infinite-impulse-response) filtering, where the error surface is far from being quadratic. Nevertheless, a simple modification of the updating equation of lattice-form algorithms can reduce this problem, resulting in faster adaptive IIR filters
CitationFonollosa, José A. R., Masgrau, E. Improved convergence of gradient algorithms for adaptive IIR filters. A: IEEE International Symposium on Circuits and Systems. "ISCAS 1989: the IEEE International Symposium on Circuits and Systems: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 1989, p. 1732-1735.