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.
最新文献
Einstein: a fast online segmentation (pseudo-period extraction) algorithm for complex pseudo-periodic data streams

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Let RFF do the talking: large language model enabled lightweight RFFI for 6G edge intelligence

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Subject-adaptive SSVEP decoding based on time–frequency information

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Adaptive decoupled strategy for robust and efficient low-rank matrix decomposition

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Enhanced underwater acoustic target recognition using parallel dual-branch network with attention mechanism

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Structural connectivity-informed dynamic estimation (STRiDE): Multimodal connectivity constrained ICA

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Purkinje cell spatial correlation dynamics are key to cerebellar cortical contributions to behavior

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Time-Varying Compressed Spectrum Mapping Using Dictionary-Weighted Smoothing

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Deep Reinforcement Learning for Energy Efficiency Maximization in RSMA-IRS-Assisted ISAC System

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Blind weak signal detection via dictionary learning in time-spreading distortion channels using vector sensors

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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 414 FWCI39.895

Advances in Sine Cosine Algorithm: A comprehensive survey

article Full Text OpenAlex 313 FWCI32.806

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

article Full Text OpenAlex 286 FWCI11.021

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

review Full Text OpenAlex 252 FWCI9.48

A high-performance neuroprosthesis for speech decoding and avatar control

article Full Text OpenAlex 215 FWCI73.402

Self-Supervised Learning for Electroencephalography

article Full Text OpenAlex 199 FWCI26.115

Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution

article Full Text OpenAlex 188 FWCI21.088

A review on the application of blind deconvolution in machinery fault diagnosis

review Full Text OpenAlex 177 FWCI9.25

Iterative quantum amplitude estimation

article Full Text OpenAlex 168 FWCI16.292

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

article Full Text OpenAlex 161 FWCI111.097