Pohon Dependensi Topik

ICA

• Blind Source Separation
• Unmixing matrix
• Statistically independent
• Central limit theorem
• Gaussian distribution
• Entropy
  • Joint entropy
• Mutual information
• Kurtosis

Definisi

Formulasi

• algoritma
• untuk Blind Source Separation
  • dekomposisi
  • sinyal campuran

Catatan

• Semakin banyak data latih semakin baik
• Komponen independen hasil ICA tidak langsung memiliki label, tapi membutuhkan pelabelan manual melalui pengalaman pengamat, atau pelabelan otomatis
• Must be greater than 1 and less than or equal to the number of channels. (src)

Halaman Terkait

• Signal Processing
• Blind Source Separation

Referensi

• mne.preprocessing.ICA
  • MNE ICA sudah mencakup pilihan infomax, picard, fastica
• Te-Won Lee - Independent Component Analysis (1998)
• Independent component analysis: An introduction ⭐
• ICA (Independent Component Analysis) for dummies
• Indep endent Comp onent Analysis
• Video - ICA applied to EEG
• Determining the optimal number of independent components for reproducible transcriptomic data analysis
• Independent Component Analysis for artifact removal

ica fastica signal-processing blind-source-separation