Correntropy-based Data-Selective Adaptive Filtering Algorithms for Acoustic Feedback Cancellation

F Albu, YR Chien, LTT Tran… - 2024 19th International …, 2024 - ieeexplore.ieee.org
In this paper, two new correntropy-based data-selective algorithms using the prediction error
method and proportionate principle are proposed for acoustic feedback cancellation (AFC) …

Artificial Intelligence-Based Atrial Fibrillation Recognition Method for Motion Artifact-Contaminated Electrocardiogram Signals Preprocessed by Adaptive Filtering …

H Zhang, H Zhao, Z Guo - Sensors, 2024 - mdpi.com
Atrial fibrillation (AF) is a common arrhythmia, and out-of-hospital, wearable, long-term
electrocardiogram (ECG) monitoring can help with the early detection of AF. The presence of …

Data Selective NLMS Outperforms LSTM and Futures for Regional Soybean Prices Forecasting

H Yazdanpanah, AC Teixeira, V Marar… - 2024 32nd …, 2024 - ieeexplore.ieee.org
Reliable forecasting of regional commodity prices is crucial for agribusiness risk
management. Our paper introduces Data-Selective Normalized Least-Mean-Square (DS …

Transient analysis of the set-membership LMS algorithm

NN Siqueira, TP Ferreira, LC Resende… - IEEE …, 2021 - ieeexplore.ieee.org
Adaptive filtering algorithms, which adopt the set-membership strategy, are able to attain
good steady-state performance with low computational burden. In general, such advantages …

On data-selective learning

H Yazdanpanah - arxiv preprint arxiv:1909.03891, 2019 - arxiv.org
Adaptive filters are applied in several electronic and communication devices like
smartphones, advanced headphones, DSP chips, smart antenna, and teleconference …

[PDF][PDF] Data selection with set-membership affine projection algorithm

A Zardadi - AIMS Electronics and Electrical Engineering, 2019 - aimspress.com
In this paper, the set-membership affine projection (SM-AP) algorithm is utilized to censor
non-informative data in big data applications. To this end, the probability distribution of the …

Zero attraction data selective adaptive filtering algorithm for big data applications

S Radhika, A Chandrasekar - 2021 - IET
Big data sets are characterized by raw data with large dimension, noise accumulation,
spurious correlation and heavy-tailed behavior along with measurement outliers. Therefore …

Data censoring with set-membership affine projection algorithm

G Karamali, A Zardadi, HR Moradi - Computer Science, 2020 - yadda.icm.edu.pl
In this work, we use the single-threshold and double-threshold set-membership affine
projection algorithm to censor non-informative and irrelevant data in big data problems. For …

[PDF][PDF] Set-Membership Quaternion Normalized LMS Algorithm

HR Moradi, A Zardadi - Preprints, 2018 - academia.edu
In this paper, we propose the set-membership quaternion normalized least-mean-square
(SM-QNLMS) algorithm. For this purpose, first, we review the quaternion least-mean-square …

[PDF][PDF] Data Censoring with Set-Membership Affine Projection Algorithm

HR Moradi, A Zardadi - 2018 - preprints.org
In this paper, the set-membership affine projection (SM-AP) algorithm is utilized to censor
non-informative data in big data applications. To this end, the probability distribution of the …