Algorithm 1 Robust TQWT

1:Select the Q and r initially to 1. 2:Calculate $L_{max}$ from the values of Q and r. 3:Decompose EEGs with Q, r and $L_{max}$. 4:Get the approximated original signal by inverse robust TQWT using Q, r and M (No. of time samples). 5:Compute the MSE of decomposition error $w_e\left(t\right)$. 6:while($min\left(w_e\left(t\right)\right)$)do 7: if (we(t)== min) then 8:  Optimum tuning parameters ($Q_{{opt}_i}$ and $r_{{opt}_i}$). 9: else 10:  Iterate for next values of Q and r. 11: end if 12:end while 13:Obtain the maximum decomposition levels $L_{{max}_i}$ from $Q_{{opt}_i}$ and $r_{{opt}_i}$. 14:Evaluate the optimum decomposition levels from Lmax. 15:Obtain the SBs of EEG signals using the optimum tuning parameters. where $Q_{{opt}_i}$, $L_{{max}_i}$ and $r_{{opt}_i}$ are optimum tuning parameters for signal i.