Most analytical results on affine projection algorithms assume special regression models or Gaussian regression data. The available analyses also treat different affine projection filters separately. This paper provides a unified treatment of the transient performance of a family of affine projection algorithms. The treatment relies on energy conservation arguments and does not restrict the input data to being Gaussian or white. Simulation results illustrate the analysis and the derived performance expressions
DoctorThis dissertation proposes the various methods to improve the performance of a family of affin...
The combination of adaptive filters is an effective approach to improve filtering performance. In th...
We present a novel affine projection algorithm (APA) which dynamically selects input vectors in orde...
This paper provides an analysis of transient and steady-state behavior of different filtered-x affin...
The paper provides an analysis of the transient and the steady-state behavior of a filtered-x partia...
In this paper, we present a theoretical convergence analysis of the affine projection algorithm (APA...
The paper provides an analysis of the transient and the steady-state behavior of a filtered-x partia...
In the field of adaptive filtering, it is well known that affine pro-jection (AP) algorithms lead to...
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any m...
In this paper we present a general formalism for the establishment of the family of selective partia...
This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filte...
Recently a new normalized least mean square algorithm has been proposed by minimizing the summation ...
This letter proposes an affine projection algorithm (APA) based on the concept of reuse time of the ...
This article provides an overview of an energy-based approach to the study of the steady-state and t...
Affine projection algorithm encompasses a family of con-figurable algorithms designed to improve the...
DoctorThis dissertation proposes the various methods to improve the performance of a family of affin...
The combination of adaptive filters is an effective approach to improve filtering performance. In th...
We present a novel affine projection algorithm (APA) which dynamically selects input vectors in orde...
This paper provides an analysis of transient and steady-state behavior of different filtered-x affin...
The paper provides an analysis of the transient and the steady-state behavior of a filtered-x partia...
In this paper, we present a theoretical convergence analysis of the affine projection algorithm (APA...
The paper provides an analysis of the transient and the steady-state behavior of a filtered-x partia...
In the field of adaptive filtering, it is well known that affine pro-jection (AP) algorithms lead to...
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any m...
In this paper we present a general formalism for the establishment of the family of selective partia...
This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filte...
Recently a new normalized least mean square algorithm has been proposed by minimizing the summation ...
This letter proposes an affine projection algorithm (APA) based on the concept of reuse time of the ...
This article provides an overview of an energy-based approach to the study of the steady-state and t...
Affine projection algorithm encompasses a family of con-figurable algorithms designed to improve the...
DoctorThis dissertation proposes the various methods to improve the performance of a family of affin...
The combination of adaptive filters is an effective approach to improve filtering performance. In th...
We present a novel affine projection algorithm (APA) which dynamically selects input vectors in orde...