专题:Blind Source Separation Techniques

This cluster of papers focuses on blind source separation and independent component analysis, with applications in signal decomposition, biomedical signals, and processing of convolutive mixtures. The methods often utilize sparse representation and exploit the temporal structure of the signals, particularly in the frequency domain.
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Semi-Supervised DAS VSP Data Denoising Using Signal and Noise Distribution Difference

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Hermite-Hadamard Type Inequalities and Convex Functions in Signal Processing

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Compression of EEG signals with the LSTM-autoencoder via domain adaptation approach

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An information entropy-based fuzzy stochastic configuration network for robust data modeling

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Spectrum feature extraction method combining Allan variance, VMD, and PSD

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A mutual information measure of phase-amplitude coupling using gamma generalized linear models

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Adaptive Filtering Strategies for ECG Signal Enhancement: A Comparative Study

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Performance Evaluation of Interference Removal Methods Based on Subspace Projection With Wearable OPM-MEG

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A Convolutional Neural Network for SSVEP Identification by Using a Few-Channel EEG

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Bayesian Algorithms for Kronecker-Structured Sparse Vector Recovery With Application to IRS-MIMO Channel Estimation

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近5年高被引文献
An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG

article Full Text OpenAlex 539 FWCI52.3684418

A Review of Wavelet Analysis and Its Applications: Challenges and Opportunities

review Full Text OpenAlex 392 FWCI48.27880245

Semi-Supervised DAS VSP Data Denoising Using Signal and Noise Distribution Difference

article Full Text OpenAlex 379 FWCI200.92971505

A high-performance neuroprosthesis for speech decoding and avatar control

article Full Text OpenAlex 362 FWCI96.90503309

Advances in Sine Cosine Algorithm: A comprehensive survey

article Full Text OpenAlex 339 FWCI42.75438327

Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization

article Full Text OpenAlex 297 FWCI13.08114559

Self-Supervised Learning for Electroencephalography

article Full Text OpenAlex 261 FWCI41.89595828

A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification

article Full Text OpenAlex 232 FWCI37.56189363

A Machine Learning-Based Big EEG Data Artifact Detection and Wavelet-Based Removal: An Empirical Approach

article Full Text OpenAlex 230 FWCI27.79555757

Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution

article Full Text OpenAlex 222 FWCI23.9099236