Signal Filter Visualizer is a Python program meant as a tool for signal processing filter design. To this end it uses signal processing functionality provided by Scipy and Numpy. Matplotlib is used to plot the signals. GUI is also a very essential part of the program, since without it, the user would be better off just writing his own signal processing script. GUI is built with PyQt5, because it is powerful, versatile and very easy to use.

Signal Filter Visualizer features:

• Signal generation
• Import signal from file
• Noise generation
• Filtering
• Butterworth
• Chebyshev I & II
• Bessel
• Elliptic
• Rolling window median, RMS and mean
• Visualization of filtered and unfiltered signals

1. Install Anaconda 4.2.0 for Windows (Python 3.5 version), https://www.continuum.io/downloads

2. Open Command Prompt and create new conda environment: conda create -n signals python=3.5 pyqt=5.6 numpy scipy matplotlib

3. Activate the new environment as instructed by conda: activate signals

4. Change your current working directory to your workspace and git clone signal-filter-visualizer: git clone https://github.com/jsantero/signal-filter-visualizer.git

5. Install signal-filter-visualizer (editable): pip install --process-dependency-links -e signal-filter-visualizer

python signal_filter_visualizer.py

I cannot get the program running on Linux

This project has been so far developed in Windows, and Linux compatibility is not guaranteed. All of the project's components should function well under Linux but installation process may be more complicated.

http://pyqt.sourceforge.net/Docs/PyQt5/installation.html

http://pyqt.sourceforge.net/Docs/PyQt5/

https://docs.scipy.org/doc/scipy-0.18.1/reference/signal.html

The initial idea for this project is from Kim Blomqvist. See his github at https://github.com/kblomqvist