This paper proposes a novel individual variable step-size subband adaptive filter algorithm robust to impulsive noises. A fixed step-size subband adaptive filter algorithm that is robust against impulsive noises is newly derived by obtaining the optimal solution from a constrained optimization problem through the Lagrange multiplier. In addition, in order to further improve the convergence performance of the proposed algorithm, the weight update formula with a single fixed step size is modified to have multiple individual step sizes. By analyzing its mean-square-deviation (MSD), the optimal individual step size is designed. Simulation results show that the proposed algorithm outperforms the algorithms robust to impulsive noises in the liter...
Maximum correntropy criterion (MCC) based adaptive filters are found to be robust against impulsive ...
This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm...
Abstract. Noise control of signals is a key challenge problem in signal enhancement, signal recognit...
DoctorIn this thesis, improving the performance of robust adaptive filtering algorithms in impulsive...
DoctorIn this paper, various studies have been conducted to improve the performance of the adaptive ...
In this Letter, a robust variable step-size affine-projection subband adaptive filter algorithm (RVS...
DoctorThis thesis proposes the various methods to improve the robustness against impulsive measureme...
We present a new subband adaptive filter (R-SAF) which is robust against impulsive noise in system i...
This letter proposes a variable step-size sign subband adaptive filter (SSAF) based on the minimizat...
This article studies the mean and mean-square behaviors of the M-estimate based normalized subband a...
This paper presents a subband adaptive filter (SAF) for a system identification where an impulse res...
A new variable step-size sign subband adaptive filter (VSS-SSAF), not requiring any a priori informa...
This paper proposes an algorithm that actively controls the noise using a variable step-size normali...
This brief introduces the concept of a step-size scaler by investigating and modifying the tanh cost...
Abstract A robust recursive least-squares (RLS) adaptive filter against impulsive noise is proposed ...
Maximum correntropy criterion (MCC) based adaptive filters are found to be robust against impulsive ...
This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm...
Abstract. Noise control of signals is a key challenge problem in signal enhancement, signal recognit...
DoctorIn this thesis, improving the performance of robust adaptive filtering algorithms in impulsive...
DoctorIn this paper, various studies have been conducted to improve the performance of the adaptive ...
In this Letter, a robust variable step-size affine-projection subband adaptive filter algorithm (RVS...
DoctorThis thesis proposes the various methods to improve the robustness against impulsive measureme...
We present a new subband adaptive filter (R-SAF) which is robust against impulsive noise in system i...
This letter proposes a variable step-size sign subband adaptive filter (SSAF) based on the minimizat...
This article studies the mean and mean-square behaviors of the M-estimate based normalized subband a...
This paper presents a subband adaptive filter (SAF) for a system identification where an impulse res...
A new variable step-size sign subband adaptive filter (VSS-SSAF), not requiring any a priori informa...
This paper proposes an algorithm that actively controls the noise using a variable step-size normali...
This brief introduces the concept of a step-size scaler by investigating and modifying the tanh cost...
Abstract A robust recursive least-squares (RLS) adaptive filter against impulsive noise is proposed ...
Maximum correntropy criterion (MCC) based adaptive filters are found to be robust against impulsive ...
This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm...
Abstract. Noise control of signals is a key challenge problem in signal enhancement, signal recognit...