# Machine-Learning-for-Signal-Processing

**Repository Path**: zhoub86/Machine-Learning-for-Signal-Processing

## Basic Information

- **Project Name**: Machine-Learning-for-Signal-Processing
- **Description**: 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 Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2021-03-18
- **Last Updated**: 2023-04-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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