/Machine-Learning-for-Signal-Processing

This repository consists of work done in Machine Learning and Signal Processing. Machine Learning Stage consists of: * K-means * Expectation Maximization * Principal Component Analysis (PCA) * Mixture Models * Hidden Markov Models (HMM) * Graphical Models * Gibbs Sampling * Manifold Learning * Hashing Signal Processing Stage consists of : * Source Separation * Stereo Matching * Audio Processing * Fourier Transform * Brain Waves * Keyword Detection * Sentiment Analysis * Music Signal Processing * Image Segmentation

Primary LanguagePython

Machine-Learning-for-Signal-Processing

This repository consists of work done in Machine Learning and Signal Processing.

Machine Learning Stage consists of:

  • K-means
  • Expectation Maximization
  • Principal Component Analysis (PCA)
  • Mixture Models
  • Hidden Markov Models (HMM)
  • Graphical Models * Gibbs Sampling
  • Manifold Learning
  • Hashing

Signal Processing Stage consists of:

  • Source Separation
  • Stereo Matching
  • Audio Processing
  • Fourier Transform
  • Brain Waves
  • Keyword Detection
  • Sentiment Analysis
  • Music Signal Processing
  • Image Segmentation