Proposed is a novel affine projection sign algorithm with L-0-norm cost to improve the convergence rate in a sparse system. The proposed algorithm is robust to impulsive noise due to L-1-norm minimisation. It also ensures improved performance in terms of convergence rate owing to the L-0-norm cost. The simulation results demonstrate that the proposed algorithm improves the filter performance of sparse system identification.X1122sciescopu
Adaptive filters are extensively used in the identification of an unknown system. Unlike several gra...
Abstract—In this paper, two proportionate affine projection sign algorithms are introduced. The perf...
This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filte...
This work presents a new type of the affine projection (AP) algorithms which incorporate the sparsit...
This paper presents an l1-norm penalized bias compensated linear constrained affine projection (l1-B...
In this paper, a new affine projection sign algorithm with a variable step-size, robust in impulsive...
Proposed is a variable step-size affine projection sign algorithm (APSA) based on the minimisation o...
A novel adaptive filter combining the affine projection algorithm (APA) and the affine projection si...
Abstract The well‐known affine projection sign algorithm is one of the classic adaptive filtering me...
Abstract—In order to improve the performance of Least Mean Square (LMS) based system identification ...
Sparse system identification has attracted much attention in the field of adaptive algorithms, and t...
Abstract – The approximate memory improved proportionate affine projection algorithm has been propos...
In this paper, we develop the adaptive algorithm for system identification where the model is sparse...
We propose a smooth approximation l0-norm constrained affine projection algorithm (SL0-APA) to impro...
This paper presents a novel adaptive algorithm based on RZA-LMS for sparse signal and system identif...
Adaptive filters are extensively used in the identification of an unknown system. Unlike several gra...
Abstract—In this paper, two proportionate affine projection sign algorithms are introduced. The perf...
This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filte...
This work presents a new type of the affine projection (AP) algorithms which incorporate the sparsit...
This paper presents an l1-norm penalized bias compensated linear constrained affine projection (l1-B...
In this paper, a new affine projection sign algorithm with a variable step-size, robust in impulsive...
Proposed is a variable step-size affine projection sign algorithm (APSA) based on the minimisation o...
A novel adaptive filter combining the affine projection algorithm (APA) and the affine projection si...
Abstract The well‐known affine projection sign algorithm is one of the classic adaptive filtering me...
Abstract—In order to improve the performance of Least Mean Square (LMS) based system identification ...
Sparse system identification has attracted much attention in the field of adaptive algorithms, and t...
Abstract – The approximate memory improved proportionate affine projection algorithm has been propos...
In this paper, we develop the adaptive algorithm for system identification where the model is sparse...
We propose a smooth approximation l0-norm constrained affine projection algorithm (SL0-APA) to impro...
This paper presents a novel adaptive algorithm based on RZA-LMS for sparse signal and system identif...
Adaptive filters are extensively used in the identification of an unknown system. Unlike several gra...
Abstract—In this paper, two proportionate affine projection sign algorithms are introduced. The perf...
This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filte...