![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Robust maximum correlation entropy Kalman filtering algorithm based on S-functions under impulse noise
The impulse noise is heavy-tailed and distributed, which is common in many real-world scenarios of automatic control and target tracking. In order to improve the stability of Kalman filtering algorithms in the...
-
Article
A Family of Robust Diffusion Adaptive Filtering Algorithms Based on the Tanh Framework
To enhance the performance of the diffusion robust adaptive filtering algorithm, this paper presents a novel loss function framework named the “Tanh cost function framework.” By utilizing this framework, we ar...
-
Article
A new Gaussian Kernel Filtering Algorithm Involving the Sparse Criterion
Kernel adaptive filtering algorithms have been successfully applied in many areas, among which the fraction lower power order statistics error criterion (FLP) is a better choice due to its prominent performanc...
-
Article
An Improved Sign Subband Adaptive Filter Algorithm
To make the zero attractor sign subband adaptive filter (ZA-SSAF) algorithm more suitable for sparse systems, where the impulse response is sparse and disturbed with impulse interference, this paper proposes a...