SMSSA_WVD

Code release for the paper Sliding Mode Singular Spectrum Analysis for the Elimination of Cross-Terms in Wigner–Ville Distribution.

Usage

To run the MATLAB files, please download and add both them to the MATLAB path before using.

Citations

If you wish to use this code in your work and experimentations, please cite the following paper:

@article{panda2020sliding, 
  title={Sliding Mode Singular Spectrum Analysis for the Elimination of Cross-Terms in Wigner--Ville Distribution},
  author={Panda, Rohan and Jain, Sahil and Tripathy, RK and Sharma, Rishi Raj and Pachori, Ram Bilas},
  journal={Circuits, Systems, and Signal Processing},
  pages={1--26},
  year={2020},
  publisher={Springer}
}

@article{siddharth2019discrimination,
  title={Discrimination of focal and non-focal seizures from EEG signals using sliding mode singular spectrum analysis},
  author={Siddharth, T and Tripathy, Rajesh Kumar and Pachori, Ram Bilas},
  journal={IEEE Sensors Journal},
  volume={19},
  number={24},
  pages={12286--12296},
  year={2019},
  publisher={IEEE}
}

@article{harmouche2017sliding,
  title={The sliding singular spectrum analysis: A data-driven nonstationary signal decomposition tool},
  author={Harmouche, Jinane and Fourer, Dominique and Auger, Fran{\c{c}}ois and Borgnat, Pierre and Flandrin, Patrick},
  journal={IEEE Transactions on Signal Processing},
  volume={66},
  number={1},
  pages={251--263},
  year={2017},
  publisher={IEEE}
}

Declarations

ssa_decomp and ssa functions has been taken from here.