Algorithm 1: SI-BSS (Blind Source Separation Based on Swarm Intelligence Algorithm)

Input:$X\left(t\right)$

Centralize and whitening $X\left(t\right)$ Initialize the parameters of swarm intelligence algorithm. Randomly generate the initial $n\times n$ separation matrix $W$. Apply the SI algorithm to get $W_{best}$ according to the fitness function Obtain the separated signals $Y\left(t\right)$, $Y\left(t\right)=W_{best}X\left(t\right)$

Output:$W_{best}$, $Y\left(t\right)$