spkit 0.0.9.5

SpKit: Signal Processing toolkit | Nikesh Bajaj |

Signal Processing toolkit

Links: Homepage | Documentation | Github | PyPi - project | _ Installation: pip install spkit

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Installation

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

with pip

pip install spkit

update with pip

pip install spkit --upgrade

New in 0.0.9.5:

MEA Processing Toolkit

• sp.mea

Geometrical Functions

• sp.gemetry

More on signal processing

• sp.core

Statistics

• sp.stats

For updated list of contents and documentation check github or Documentation

List of all functions

Signal Processing Techniques

Information Theory functions

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

• Plot histogram with optimal bin size

• Computation of optimal bin size for histogram using FD-rule

• Compute bin_width with various statistical measures

• Plot Venn Diagram- joint distribuation and normalized entropy values

Dispersion Entropy --for time series (physiological signals)

• Dispersion Entropy (Advanced) - for time series signal
  • Dispersion Entropy
  • Dispersion Entropy - multiscale
  • Dispersion Entropy - multiscale - refined

Matrix Decomposition

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

Continuase Wavelet Transform

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

Discrete Wavelet Transform

• Wavelet filtering
• Wavelet Packet Analysis and Filtering

Basic Filtering

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

Biomedical Signal Processing

MEA Processing Toolkit

Artifact Removal Algorithm

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

Analysis and Synthesis Models

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

Ramanajum Methods for period estimation

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

Fractional Fourier Transform

• Fractional Fourier Transform
• Fast Fractional Fourier Transform

Machine Learning models - with visualizations

• Logistic Regression
• Naive Bayes
• Decision Trees
• DeepNet (to be updated)

Linear Feedback Shift Register

• pylfsr

Cite As

@software{nikesh_bajaj_2021_4710694,
  author       = {Nikesh Bajaj},
  title        = {Nikeshbajaj/spkit: 0.0.9.4},
  month        = apr,
  year         = 2022,
  publisher    = {Zenodo},
  version      = {0.0.9.4},
  doi          = {10.5281/zenodo.4710694},
  url          = {https://doi.org/10.5281/zenodo.4710694}
}

Contacts:

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

Imperial College London

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