Affine projection algorithm encompasses a family of con-figurable algorithms designed to improve the performance of other adaptive algorithms, mainly LMS based ones, es-pecially when input data is highly correlated. The computa-tional cost of the affine projection algorithm depends largely on the projection order, which in turn conditions the speed of convergence, thus high speed of convergence implies usually high computational cost. Some real-time applications (es-pecially multichannel) using the affine projection algorithm can not be implemented in the existing general-purpose hard-ware, because of this several improvements of the affine pro-jection algorithm have been proposed to make it more com-putationally efficient and more versatil...
Conventional affine projection (AP) algorithm with a fixed order is subject to a tradeoff between co...
It is well known that fast affine projection algorithms can produce a good trade-off between converg...
This letter proposes two new variable step-size algorithms for normalized least mean square and affi...
We present a novel affine projection algorithm (APA) which automatically determines its projection o...
We present a novel affine projection algorithm (APA) which dynamically selects input vectors in orde...
It is known that the performance of adaptive algorithms is constrained by their computational cost. ...
DoctorThis dissertation proposes the various methods to improve the performance of a family of affin...
Variable order affine projection algorithms have been recently presented to be used when not only th...
We propose a novel scheme for combining two adaptation terms of affine projection algorithms with di...
This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filte...
The dynamic adaptive linear constrained minimum variance (LCMV) beamformer generally uses the normal...
DoctorThis dissertation introduces mean-square analysis of affine projection algorithm(APA).The prop...
An algorithm that introduces a novel scheme for the combination of the two adaptation terms of the a...
Abstract—Many fast affine projection (FAP) algorithms have been proposed in the last two decades. Th...
This paper discusses a new adaptive filtering algorithm called fast affine projections (FAP). FAP\u2...
Conventional affine projection (AP) algorithm with a fixed order is subject to a tradeoff between co...
It is well known that fast affine projection algorithms can produce a good trade-off between converg...
This letter proposes two new variable step-size algorithms for normalized least mean square and affi...
We present a novel affine projection algorithm (APA) which automatically determines its projection o...
We present a novel affine projection algorithm (APA) which dynamically selects input vectors in orde...
It is known that the performance of adaptive algorithms is constrained by their computational cost. ...
DoctorThis dissertation proposes the various methods to improve the performance of a family of affin...
Variable order affine projection algorithms have been recently presented to be used when not only th...
We propose a novel scheme for combining two adaptation terms of affine projection algorithms with di...
This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filte...
The dynamic adaptive linear constrained minimum variance (LCMV) beamformer generally uses the normal...
DoctorThis dissertation introduces mean-square analysis of affine projection algorithm(APA).The prop...
An algorithm that introduces a novel scheme for the combination of the two adaptation terms of the a...
Abstract—Many fast affine projection (FAP) algorithms have been proposed in the last two decades. Th...
This paper discusses a new adaptive filtering algorithm called fast affine projections (FAP). FAP\u2...
Conventional affine projection (AP) algorithm with a fixed order is subject to a tradeoff between co...
It is well known that fast affine projection algorithms can produce a good trade-off between converg...
This letter proposes two new variable step-size algorithms for normalized least mean square and affi...