Results 61 to 70 of about 705 (186)

Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies

Expert Systems, Volume 43, Issue 2, February 2026.
ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez, Beatriz Remeseiro, Verónica Bolón‐Canedo   +2 more
wiley   +1 more source

Mean square cross error: performance analysis and applications in non-Gaussian signal processing

EURASIP Journal on Advances in Signal Processing, 2021
Most of the cost functions of adaptive filtering algorithms include the square error, which depends on the current error signal. When the additive noise is impulsive, we can expect that the square error will be very large.
Yunxiang Zhang, Yuyang Zhao, Gang Wang, Rui Xue   +3 more
doaj   +1 more source

Hyperparameter‐Free Maximum Versoria Criterion Based Channel‐State Acquisition for mmWave Hybrid MIMO With Hardware Impairments

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra, Sandesh Jain, K. Venkateswaran, Rajat Kumar, Vimal Bhatia, Ondrej Krejcar   +5 more
wiley   +1 more source

Multi-Sensor Integrated Navigation Fusion Algorithm Based on Maximum Correntropy Criterion [PDF]

Hangkong bingqi
Aiming at the decreasing problem that the filtering accuracy of traditional multi-sensor integrated navigation system information fusion method under non-Gaussian measurement noise， this paper extends Kalman filter based on maximum correntropy criterion （
Lin Xueyuan, Pan Xinlong, Li Xin
doaj   +1 more source

Robust Sub‐Filter Based APA With Parametric Welsch Function for Acoustic Echo Cancellation Under Impulsive Noise

Electronics Letters, Volume 62, Issue 1, January/December 2026.
Acoustic echo cancellation (AEC) in actual communication systems is challenging due to highly correlated inputs, impulsive disturbances, and computational limitations. The traditional Affine Projection Algorithm (APA) is better than the Normalised Least Mean Square method, although it involves matrix inversion complexity and is susceptible to outliers (
Gagandeep Singh, Asutosh Kar, Vasundhara, Monorama Swain, Jesper Rindom Jensen, Mads Græsbøll Christensen   +5 more
wiley   +1 more source

Nonlinearity-Robust Linear Acoustic Echo Canceller Using the Maximum Correntropy Criterion [PDF]

, 2019
For the problem of acoustic echo cancellation (AEC) with nonlinear distortions, we propose to use a linear adaptive filter that maximizes the Correntropy similarity measure instead of the conventional minimization of the mean squared error (MSE ...
Massicotte, D., Merabti, H., Hocine Merabti, Wei-Ping Zhu, Zhu, W. P., Daniel Massicotte   +5 more
core   +1 more source

A Cooperative Adaptive Kalman Filter for Robust Terrain‐Referenced Navigation in Complex Environments

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper introduces a Cooperative Adaptive Kalman Filter (CAKF) to prevent filter divergence in a Terrain‐Aided Navigation system by synergistically adapting its process noise (Q), measurement noise (R), and state covariance (P) based on vehicle manoeuvres and terrain quality.
Liyue Liang, Daojie Yu, Jianping Du, Yijie Bai, Tao Li, Jiale Zhou   +5 more
wiley   +1 more source

Maximum Correntropy Kalman Filter With State Constraints

IEEE Access, 2017
For linear systems, the original Kalman filter under the minimum mean square error (MMSE) criterion is an optimal filter under a Gaussian assumption. However, when the signals follow non-Gaussian distributions, the performance of this filter deteriorates
Xi Liu, Badong Chen, Haiquan Zhao, Jing Qin, Jiuwen Cao   +4 more
doaj   +1 more source

A TC‐Based Multicomponent LFM Signal Characterization Method Under Impulsive Noise and Its Application

IET Signal Processing, Volume 2026, Issue 1, 2026.
The burst‐like and high‐amplitude characteristics of impulsive noise, which markedly differ from those of Gaussian noise, render methods based on the Gaussian assumption unable to accurately characterize signals under impulsive noise. Moreover, when dealing with multicomponent signal, existing impulsive noise suppression methods inevitably introduce ...
Weiwei Shang, Yong Guo, Lidong Yang, Tianyuan Liu   +3 more
wiley   +1 more source

Imagined Chinese Speech Decoding Based on Initials and Finals From EEG Activity

IET Signal Processing, Volume 2026, Issue 1, 2026.
Brain‐computer interface (BCI) plays an important role in various fields, such as neuroscience, rehabilitation, and machine learning. The silent BCI, which can reconstruct inner speech from neural activity, holds great promise for aphasia patients. In this paper, we design an imagined Chinese speech experimental paradigm based on initials and finals ...
Jingyu Gu, Jiuchuan Jiang, Qian Cai, Haixian Wang, Chao Zhai   +4 more
wiley   +1 more source