In independent component analysis (ICA), the selection of model order (i.e., number of components to be extracted) has crucial effects on functional magnetic resonance imaging (fMRI) brain network ana

NIAID Data Ecosystem30

Performance of different methods under various SNR levels.

信号处理性能评估

信噪比鲁棒性分析

Performance of different methods under various SNR levels.

NIAID Data Ecosystem30

Median duration of individual ICA-based methods for different recording lengths and different number of inputs.

独立成分分析

信号处理性能评估

Median duration of individual ICA-based methods for different recording lengths and different number of inputs.

Figshare2023-06-06 更新30

The averaged classification ratesstandard deviations (in percentage) for Monte Carlo simulations resulted from the EM-MoMG method initialized by the results of HC on the whitened simulated data with different delayed time, dispersion and various SNRs.

医学影像分类

信号处理性能评估

The percentage of impaired tissue number of voxels is 25%. *NF: noise-free.

NIAID Data Ecosystem30

Compare fastICA/InfoMax ICA/PGICA accuracies.

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