A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals

EURASIP Journal on Advances in Signal Processing

Table 8 Mahalanobis distance between channel A and channels B, C, D and E in the T-F domain using the feature vector

The MBD distribution is used to represent the newborn EEG signal in the T-F domain. The columns in the table correspond respectively to the correlation between: (a) 8 T-F features vector ({F_{S 1}, F_{S 2}, ..., F_{S 8}}), and (b) 13 T-F features vector ({F_{S 1}, F_{S 2}, ..., F_{S 8}, F_{I 1}, ..., F_{I 5}}). The results indicate that a strong correlation exists between the channel A ↦ D and A ↦ E. Also, this correlation is better detected using 13 T-F features vector.