… Total least squares is found to be applicable to adaptive filtering applications for … adaptive
filtering applications while in Section 111, the RLS filter bias, mean squared error, and filter …

… Unlike (6) with respect to the a’s, these equations are obviously nonlinear with respect to
the b’s, and we conclude that recursive coefficients in the adaptive filter produce an error …

… adaptive algorithms based on bilinear filters. Also, a brief introduction is given to some
nonlinear adaptive filtering … problems related to recursive adaptive filters which are structure …

… has been applied to areas in adaptive time—delay estimation [2]. The characteristic of the
algorithm that prompts us to apply it to adaptive recursive filtering is its ability to distinguish a …

… In this paper, we explictly examine the transversal-filter structure for exact-RLS adaptive-filtering
algorithms to find additional reductions in computational requirements and …

… 2 were obtained by the use of a recursive smoothing procedure based on the suboptimal
utilization of the Kalman filter equations, extended in the normal manner to allow for two-pass (…

… , filter structures, and recursive algorithms used in adaptive IIR … the paper focuses on the
adaptive algorithms and properties … form and they are based on a prediction-error performance …

… a course on adaptive filtering, … on LMS-type filters, then he can do so by covering only
material from within areas II and III. Even in this case, students will still be exposed to the recursive-…

… algorithm, we may look to another adaptive filtering algorithm: the recursive least-squares
(RLS) … on a family of nonlinear adaptive filtering algorithms, which have the following features: …

… infinite impulse response (IIR) adaptive filters. The TLS solution also results in unbiased
finite impulse response (FIR) adaptive filters when the filter input is disturbed by additive noise, …