CLEAN

An implementation and demonstration of the CLEAN algorithm for estimating times of arrival in multi component signals.

This is an implementation of the CLEAN algorithm which identifies individual waveforms in a multi-component signal by simple spectral summations.

The details of the algorithm can be found in (and are not recalled here):

1. Gough, P.T., 1994. A fast spectral estimation algorithm based on the FFT. IEEE Transactions on Signal Processing 42, 1317–1322. https://doi.org/10.1109/78.286949
2. Holmes, C., Drinkwater, B.W., Wilcox, P.D., Post-processing of the full matrix of ultrasonic transmit–receive array data for non-destructive evaluation, 2005. NDT & E International 38, 701–711. https://doi.org/10.1016/j.ndteint.2005.04.002
3. Hunter, A.J., Drinkwater, B.W., Zhang, J., Wilcox, P.D., 2011. A STUDY INTO THE EFFECTS OF AN AUSTENITIC WELD ON ULTRASONIC ARRAY IMAGING PERFORMANCE. Rev. QNDE pp. 1063–1070. https://doi.org/10.1063/1.3592054

Two functions are provided. extract_CLEAN performs the iterative search and identifies individual components (wave packets) present in the measured signal. plot_components can be used to visualise the outcome of extract_CLEAN.

Project Organization

├── README.md          <- The top-level README for developers using this project.
├── data               <- Original, raw, external data 
│
├── clean/  <- Python module with the source
code
│
├── notebooks          <- Jupyter notebooks for expploration,
demonstration, visualisation
│
└── setup.py           <- allows for installing the module

---