ZeLiC is an interpolation algorithm that can be used to interpolate data that has been sampled using with Lebesgue sampling. Lebesgue sampling consists of choosing a condition to sample one point of a signal. For instance, one condition could be : take one point when the signal is larger than a given threshold.
This Git contains 3 files:
- recon_algs.py contains many algorithms that can be used for interpolation and signal reconstruction
- recon_utils.py contains utilities that are used for the ZeLiC interpolation
- zeli_algorithm.py contains the code for ZeLiC interpolation
For the zeli_algorithm script to work correctly, the user must have:
- numpy
- scipy There is an import of the fastdtw library, but it can be commented out as it is not crucial for the algorithm to work.
For the recon_algs script to work correctly, the user must have:
This algorithm has been made by Matthieu Bellucci, with the help of Luis Miralles and Atif Qureshi.