Algorithm 1.
Input: Set of observations ξj, j = 1, …, M according to (I.1) and noise level σ |
Output: x̂: estimation of x |
Estimate invariant features: |
Estimate the signal’s DFT:
|
Return: x̂: inverse DFT of the estimated y |
Input: Set of observations ξj, j = 1, …, M according to (I.1) and noise level σ |
Output: x̂: estimation of x |
Estimate invariant features: |
Estimate the signal’s DFT:
|
Return: x̂: inverse DFT of the estimated y |