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 1 The time-Lag kernels of TFDs used in this article [6]

QTFD	G[*n, m*]	Kernel type
WVD	δ[n]	Lag independent/Doppler independent
SWVD	δ[n]w[m]	Doppler independent
SPEC	w[n + m] w [n - m]	Non-separable kernel
GKD	$\frac{\sqrt{π σ}}{2 \| m \|} exp (\frac{- π^{2} σ n^{2}}{4 m^{2}})$	Product kernel
MBD	$\frac{{cosh}^{- 2 β}}{\sum_{n} {cosh}^{- 2 β} n}$	Lag independent
SEPK	Hamm_M[n] Hann_L[n]	Separable kernel

The parameters β and σ are positive real and w[n] represents the window function. Hamm_M[n] and Hann_L[n] represent respectively M-point Hamming and L-point Hanning functions