A class of equivalent algorithms that accelerate the convergence of the normalized LMS
(NLMS) algorithm, especially for colored inputs, has previously been discovered …

In this paper, we propose a variable matrix-type step-size affine projection algorithm (APA)
with orthogonalized input vectors. We generate orthogonalized input vectors using the Gram …

摘要输入信号是自回归模型时, 建立了一种基于回归估计误差的仿射投影(Affine projection
using regressive estimated error, AP-REE) 算法的统计模型. 在五个假设的条件下 …

An Affine projection algorithm with Direction error (AP-DE) is presented by redefining the
iteration error. Under a measurement-noise-free condition, the iteration error is directly …

Class of algorithms referring to the affine projection algorithms (APA) applies updates to the
weights in a direction that is orthogonal to the most recent input vectors. This speeds up the …

Since unity step size could guarantee the fastest convergence and more detailed analysis
for the affine projection (AP) algorithm, a statistical tracking behavior of AP algorithm is …

An affine projection algorithm with direction error (AP‐DE) is presented to solve the
nonconformity between the iterated direction of the adaptive filter and the direction caused …

We present the tracking properties of the Normalized LMS and affine projection class of
algorithms for a randomly time-varying system under certain simplifying assumptions on the …