Sumários

Lab10 - ICA Ev

17 maio 2016, 14:00 • Agostinho Cláudio da Rosa

Lab10 ICA Evaluation
Construct 4 independent signals and 1 noise channel (X)
Specify a matrix A for linear combinations of x (Y=BX)
Use ICA to obtain X from Y
Show the relationship between the recovery matrix (R) and linear combination matrix A.

Lab10 - ICA Ev

17 maio 2016, 12:30 • Agostinho Cláudio da Rosa

Lab10 ICA Evaluation
Construct 4 independent signals and 1 noise channel (X)
Specify a matrix A for linear combinations of x (Y=BX)
Use ICA to obtain X from Y
Show the relationship between the recovery matrix (R) and linear combination matrix A.

20 ICA Applications

17 maio 2016, 09:30 • Agostinho Cláudio da Rosa

20 ICA Applications
Sum up of ICA implementations, properties and interpretations
Linear, observers are time invariant and sources are independent non-gausssian (up to 1 only)
Permutation, inversion and gain factor are not resolved by ICA
Applications to EOG revmovalApplication to artifacts with saturation nonlinearity
Mother and fetus ECG separation
Independent simultaneous speakers separation
Simgle epoch ERP extraction
General classes of blind sources separation (BSS)

19 ICA

12 maio 2016, 12:00 • Agostinho Cláudio da Rosa

19 ICA
Cocktail Party problem
Independent sources
Separaation of linear independent sources
ICA algorithm
Fast ICA Algorithm
Matlab implementations
Demo using matlab

Lab09 - EMD & pEMD

10 maio 2016, 14:00 • Agostinho Cláudio da Rosa

LAB09 EMD & pEMD

ecg.mat -> sampling frequency = 128Hz
Empirical Mode Decomposition of a signal  using Rilling/Flandrin EMD implementation
Spectral analysis with HHT
pEMD Alternative method by Rato/Ortigueira versus EEMD
Image processing with 2D-EMD