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Correntropy-based Data-Selective Adaptive Filtering Algorithms for Acoustic Feedback Cancellation
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) …
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 …
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 …
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
Reliable forecasting of regional commodity prices is crucial for agribusiness risk
management. Our paper introduces Data-Selective Normalized Least-Mean-Square (DS …
management. Our paper introduces Data-Selective Normalized Least-Mean-Square (DS …
Transient analysis of the set-membership LMS algorithm
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 …
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 …
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 …
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 …
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 …
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 …
(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 …
non-informative data in big data applications. To this end, the probability distribution of the …