To address the conflicting requirement of fast convergence rate and low misadjustment, a new non-parametric variable step-size diffusion least mean squares (LMS) (NPVSSDifLMS) algorithm is presented. The non-parametric variable step-size scheme is obtained to cancel the influence of noise signals in the intermediate posteriori errors at every node. Simulation results show that this NPVSSDifLMS algorithm outperforms the DifLMS and VSSDifLMS algorithms
An improved robust variable step-size least mean square (LMS) algorithm is developed in this paper. ...
An improved robust variable step-size least mean square (LMS) algorithm is developed in this paper. ...
The convergence speed of the standard Least Mean Square adaptive array may be degraded in mobile com...
In this paper, the problem of distributed estimation over adaptive networks is studied. A new diffus...
We propose a new variable step-size diffusion least mean square algorithm for distributed estimation...
The least-mean-square-type (LMS-type) algorithms are known as simple and effective adaptation algori...
The least-mean-square-type (LMS-type) algorithms are known as simple and effective adaptation algori...
An efficient variable step-size diffusion normalised least-mean-square algorithm is proposed via a m...
A new variable step-size least-mean-square (VSSLMS) algorithm is presented in this paper for applica...
A new variable step-size least-mean-square (VSSLMS) algorithm is presented in this paper for applica...
A fast variable step-size least-mean-square algorithm (MRVSS) is proposed and analyzed in this paper...
This paper presents an efficient adaptive combination strategy for diffusion algorithms over adaptiv...
This paper analyzes the implementation of least-mean-squares (LMS)-based, adaptive diffusion algorit...
Two new gradient-based variable step size least-mean-square (VSSLMS) algorithms are proposed on the ...
We propose diffusion least-mean-square (LMS) algorithms that use multi-combination step. We allow ea...
An improved robust variable step-size least mean square (LMS) algorithm is developed in this paper. ...
An improved robust variable step-size least mean square (LMS) algorithm is developed in this paper. ...
The convergence speed of the standard Least Mean Square adaptive array may be degraded in mobile com...
In this paper, the problem of distributed estimation over adaptive networks is studied. A new diffus...
We propose a new variable step-size diffusion least mean square algorithm for distributed estimation...
The least-mean-square-type (LMS-type) algorithms are known as simple and effective adaptation algori...
The least-mean-square-type (LMS-type) algorithms are known as simple and effective adaptation algori...
An efficient variable step-size diffusion normalised least-mean-square algorithm is proposed via a m...
A new variable step-size least-mean-square (VSSLMS) algorithm is presented in this paper for applica...
A new variable step-size least-mean-square (VSSLMS) algorithm is presented in this paper for applica...
A fast variable step-size least-mean-square algorithm (MRVSS) is proposed and analyzed in this paper...
This paper presents an efficient adaptive combination strategy for diffusion algorithms over adaptiv...
This paper analyzes the implementation of least-mean-squares (LMS)-based, adaptive diffusion algorit...
Two new gradient-based variable step size least-mean-square (VSSLMS) algorithms are proposed on the ...
We propose diffusion least-mean-square (LMS) algorithms that use multi-combination step. We allow ea...
An improved robust variable step-size least mean square (LMS) algorithm is developed in this paper. ...
An improved robust variable step-size least mean square (LMS) algorithm is developed in this paper. ...
The convergence speed of the standard Least Mean Square adaptive array may be degraded in mobile com...