Skip to content

Implementation of Welch algorithm (Power-Spectral-Density)

License

Notifications You must be signed in to change notification settings

hosein-srj/welch-cpp

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Pwelch C++ Implementation

Overview

This repository contains a C++ implementation of the Welch Power Spectral Density (PSD) estimation using the FFTW3 library.

Dependencies

Make sure you have the FFTW3 library installed. You can find more information about FFTW3 here.

Download fftw from website and place in Pwelch folder.

Usage

Pwelch Class

The Pwelch class is the core of this implementation. It includes a function Pwelch_process with the following parameters:

  • input: The input signal represented as std::complex.

  • w: the size of window

  • overlap: Number of overlapping samples between segments.

  • nfft: Number of points for the FFT.

  • windowtype: Type of window function to be applied (hamming or hanning).

Example

#include <iostream>
#include "Pwelch.h"
  
int main()
{
     //Load your input
    vector<doubleC> inp(8192);
    int w = 512;
    int overlap = 256;
    int nfft = 1024;
    Pwelch pwelch;
    vector<double> pxx = pwelch.Pwelch_Process(inp, w, overlap, nfft, WindowType::hamming);
    
}

Building

  1. Open the project in Visual Studio.
  2. Configure the project settings if needed.
  3. Build the project using the "Build" menu or by pressing Ctrl + Shift + B.
  4. Run the executable generated in the output directory or run in Visual Studio.
  5. make sure that libfftw3-3.dll is in project directory

Contributing

Feel free to contribute to this project by submitting issues or pull requests. Your feedback and contributions are highly appreciated.

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

About

Implementation of Welch algorithm (Power-Spectral-Density)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages