Sumários

Blind Source Separation II

1 Junho 2017, 12:00 Agostinho Cláudio da Rosa

Blind Source Separation II

a.       Fast ICA Matlab implementation

b.      ICA as Filter


Empirical Mode Decomposition (EMD) Ensemble EMD (EEMD) - Multivariate EMD (MEMD) - rParabEmd_L.m (R&U)

30 Maio 2017, 14:00 Agostinho Cláudio da Rosa

Empirical Mode Decomposition (EMD)
Ensemble EMD (EEMD) - Multivariate EMD (MEMD) - rParabEmd_L.m (R&U)
This lab aims to the application of EMD to reduce noise in the data and also feature extraction. Different
versions of EMD are studied and compared. Introduction to Hilbert-Huang transform (HHT). Trend
removal using Moving Average and EMD. Tools and functions to perform the lab are readily available in
Matlab or provided under current directory


Empirical Mode Decomposition (EMD) Ensemble EMD (EEMD) - Multivariate EMD (MEMD) - rParabEmd_L.m (R&U)

30 Maio 2017, 12:30 Agostinho Cláudio da Rosa

Empirical Mode Decomposition (EMD)
Ensemble EMD (EEMD) - Multivariate EMD (MEMD) - rParabEmd_L.m (R&U)
This lab aims to the application of EMD to reduce noise in the data and also feature extraction. Different
versions of EMD are studied and compared. Introduction to Hilbert-Huang transform (HHT). Trend
removal using Moving Average and EMD. Tools and functions to perform the lab are readily available in
Matlab or provided under current directory


Blind Source Separation I

30 Maio 2017, 09:30 Agostinho Cláudio da Rosa

Blind Source Separation I

a.       Independent Component Analysis (ICA)

b.      Demo of independent sources separation


Signals Decomposition IV

25 Maio 2017, 12:00 Agostinho Cláudio da Rosa

Signals Decomposition IV

a.       2D-EMD applications

b.      Ensemble EMD – EEMD

c.       Hilbert Huang Transform of analytic signals  - HHT

d.      Instantaneous frequency of IMF

e.      Multivariate EMD

f.       Application examples