Requirement: numpy, matplotlib, scipy.stats, scikit-learn, seaborn

pip install spkit

pip install spkit --upgrade

for real valued signals

• Entropy

  • Shannon entropy
  • Rényi entropy of order α, Collision entropy,
  • Joint entropy
  • Conditional entropy
  • Mutual Information
  • Cross entropy
  • Kullback–Leibler divergence
  • Spectral Entropy
  • Approximate Entropy
  • Sample Entropy
  • Permutation Entropy
  • SVD Entropy

• Dispersion Entropy (Advanced) - for time series signal

  • Dispersion Entropy
  • Dispersion Entropy - multiscale
  • Dispersion Entropy - multiscale - refined

• Differential Entropy (Advanced) - for time series signal

  • Differential Entropy
  • Mutual Information, Conditional, Joint, Entropy
  • Transfer Entropy

• SVD
• ICA using InfoMax, Extended-InfoMax, FastICA & Picard

• Gauss wavelet
• Morlet wavelet
• Gabor wavelet
• Poisson wavelet
• Maxican wavelet
• Shannon wavelet

• Wavelet filtering
• Wavelet Packet Analysis and Filtering

• Removing DC/ Smoothing for multi-channel signals
• Bandpass/Lowpass/Highpass/Bandreject filtering for multi-channel signals

• EEG Signal Processing
• MEA Processing Toolkit

Artifact Removal Algorithm

• ATAR Algorithm Automatic and Tunable Artifact Removal Algorithm for EEG from artical
• ICA based Algorith

• DFT Analysis & Synthesis
• STFT Analysis & Synthesis
• Sinasodal Model - Analysis & Synthesis
  • to decompose a signal into sinasodal wave tracks
• f0 detection

• Period estimation for a short length sequence using Ramanujam Filters Banks (RFB)
• Minizing sparsity of periods

• Fractional Fourier Transform
• Fast Fractional Fourier Transform

• Logistic Regression
• Naive Bayes
• Decision Trees

@software{nikesh_bajaj_2021_4710694,
  author       = {Nikesh Bajaj},
  title        = {Nikeshbajaj/spkit: 0.0.9.4},
  month        = apr,
  year         = 2021,
  publisher    = {Zenodo},
  version      = {0.0.9.4},
  doi          = {10.5281/zenodo.4710694},
  url          = {https://doi.org/10.5281/zenodo.4710694}
}

• Nikesh Bajaj
• https://nikeshbajaj.in
• n.bajaj[AT]qmul.ac.uk, n.bajaj[AT]imperial[dot]ac[dot]uk