MI-CSP Alternatives
Posted: Wed Jan 04, 2023 6:36 pm
Hello all.
Happy new year.
I m trying to improve my MI (Left-right hand imagination) system with better feature extraction algorithms.
I saw the Regularized CSP Trainer Box and I m wondering what are the best values in the settings to work in MI-CSP scenario.
a. Filters per condition.
b. Save filters as box config
c. Covariance update
d. Trace normalization
e. shrinkage coefficient
f. Tikhonov coefficient
Please explain me what are this values and what i have to set.
There is also the CSP Spatial Filter Trainer Metabox. Is it just a fusion of temporal filter and CSP or maybe can achieve better features?
Finally is there a way to use the following CSP feature extraction variations?
a. Adaptive Composite Common Spatial Pattern (ACCSP)
b. Self Adaptive Common Spatial Pattern (SACSP) algorithms
Thanks in advance!
Happy new year.
I m trying to improve my MI (Left-right hand imagination) system with better feature extraction algorithms.
I saw the Regularized CSP Trainer Box and I m wondering what are the best values in the settings to work in MI-CSP scenario.
a. Filters per condition.
b. Save filters as box config
c. Covariance update
d. Trace normalization
e. shrinkage coefficient
f. Tikhonov coefficient
Please explain me what are this values and what i have to set.
There is also the CSP Spatial Filter Trainer Metabox. Is it just a fusion of temporal filter and CSP or maybe can achieve better features?
Finally is there a way to use the following CSP feature extraction variations?
a. Adaptive Composite Common Spatial Pattern (ACCSP)
b. Self Adaptive Common Spatial Pattern (SACSP) algorithms
Thanks in advance!