Algorithm 1: Pseudo code of the EMD algorithm

Input: Given a signal x(t)

1. Set r(t) = x(t) and k = 0.

while r(t) is not monotonous do

2. Set m(t) = r(t).

while m(t) is nontrivial do

3. Interpolate the local minima and maxima, ending up with lower and upper envelopes, emin(t) and emax(t).

4. Compute the average $m\left(t\right)=0.5\left(e_{min}+e_{max}\right).$

5. Extract the different signal $d\left(t\right)=r\left(t\right)-m\left(t\right),$ and denote d(t) as r(t)

end while

6. Set k = k + 1.

7. Set $IM{F}_k\left(t\right)=d\left(t\right).$

8. Set r(t) = x(t) − ${{\displaystyle \sum }}_{i=1}^{k}IM{F}_i \left(t\right)$

end while

Output.x(i)= ${{\displaystyle \sum }}_{i=1}^{k}IM{F}_i \left(t\right) +r\left(t\right)$