… of adaptive HR filtering on more .… recursive filter .structures or linear system theory becomes
a prerequisite. Chapter 2 is devoted to a review of linear .system theory and recursive filters, …

… provide an overview of adaptive filtering algorithms that result … groups (or variations thereof):
recursive leastsquares (RLS) … recall that we are only operating on the first and third columns…

… kernel recursive least squares algorithms and the robust kernel recursive maximum correntropy
algorithms based on … kernel recursive adaptive filtering against the non-Gaussian noise. …

… , we shall focus on the mathematical forms of adaptive filters as … of adaptive filters as
implemented on DSP chips and on a … n), although efficient recursive methods for its minimization …

… In this paper, a robust adaptive algorithm, called recursive minimum error entropy, is derived
… better than the recursive least squares and recursive maximum correntropy algorithm. …

… Abstract—In this brief, a robust constrained filtering algorithm is … adaptive algorithm. The
proposed algorithm is called the recursive constrained least arctangent (RCLA) adaptive …

… -feasible recursive filtering algorithms for networked nonlinear systems. This paper focuses
on the … area network environment via an adaptive unscented kalman filter. IEEE Transactions …

… However, the convergence of GCMCC algorithm depends on the learning rate. With a large
… To balance the convergence rate and the MSD, we propose a novel recursive CMCC (…

… adaptive Kalman filter is equivalent to the recursive … adaptive Kalman filter proposed in
the present paper involves two interconnected parts, one based on the classical Kalman filter …

… noise may significantly degrade the filtering performance of CAFs derived … on the gradient
method. To improve its convergence rate with correlated inputs, we further propose a recursive …