Numerical accuracy issues of recursive least squares algorithmsNumerical accuracy issues of recursive least squares algorithms Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-11-091998enThe continuous use of adaptive algorithms is strongly dependent on their behavior in finite-precision environments. We study the nonlinear round-off error accumulation system of the conventional RLS algorithm and we derive bounds for the relative precision of the computations and the accumulated round-off error, which guarantee the numerical stability of the finite-precision implementation of the algorithm. The bounds depend on the conditioning of the problem and the exponential forgetting factor. Simulations agree with our theoretical resultshttp://creativecommons.org/licenses/by/4.0/1409 - 1412IEEE International Conference Acoustics, Speech and Signal Processing Liavas Athanasios Λιαβας Αθανασιος Regalia, Phillip A., 1962- Institute of Electrical and Electronics Engineers Adaptive algorithms