Signal Processing Toolkit - Documentation!

Authors:Nikesh Bajaj, Jesús Requena Carrión Version:0.0.9.2 of 05/2021 Home:https://spkit.github.io

Homepage spkit - https://spkit.github.io

Getting started

• Links:
• Installation

Information Theory

• Information Theory for Real-Valued signals
  • Entropy of real-valued signal
    • View in Jupyter-Notebook
    • Shannan entropy
    • Rényi entropy
  • Mutual Information & Joint Entropy
  • Conditional entropy
  • Cross entropy & Kullback–Leibler divergence
  • EEG Signal
    • View in Jupyter-Notebook
    • Single Channel
    • Multi-Channels (cross)

Independent Component Analysis

• Independent Component Analysis - ICA
  • View in Jupyter-Notebook

Complex Continuous Wavelet Transform

• Complex Wavelets
  • Notebook
    • View in Jupyter-Notebook
  • A quick example to compare different wavelets
  • Gauss wavelet
    • Plot wavelet functions
    • With a range of scale parameters
    • Signal Analysis - EEG
    • Scalogram with default parameters
    • With a range of frequency and Q
    • With a plot of analysis wavelets
    • Speech
    • Audio
  • Morlet wavelet
  • Gabor wavelet
  • Poisson wavelet
    • #Type 1 (n)
    • #Type 2
    • #Type 3 (n)
  • Maxican wavelet
  • Shannon wavelet

Machine Learning

• Machine Learning
  • New Updates
    • Decision Tree - View Notebooks
  • Logistic Regression
    • View more examples in Notebooks
    • Binary Class
    • Multi Class - with polynomial features
  • Naive Bayes
    • View more examples in Notebooks
  • Decision Trees
    • View more examples in Notebooks
    • Depth Analysis
    • Plottng tree while training

LFSR

• Link to pylfsr documentation
  • Example: 5 bit LFSR with x^5 + x^2 + 1
  • Check out full documentation of LFSR**

Contacts

• Contacts