Sampling-Theory-

About

Developing a website application for sampling an analog signal using the Nyquist-Shannon sampling theorem.

Features

This web app allows user to

• Load and plot a CSV Signal or compose and mix their own Sinusoidals.
• Sample a signal with varying sampling frequency and reconstruct the sampled points.
• reconstruct a signal with either normalized frequency or another frequency number (in Hz).
• Visualize Interactive plots (zoom , pan, slice, and download as images). 
• Can view Reconstructed , Orginal Signal and Their Difference
• Add or remove sinusoidal signals (sin or cosine) of varying frequencies and magnitudes.
• Add or remove noise with a variable SNR level.
• Save signal as csv file extension.

How to run

1. Clone the repository

Download the repository on your pc

2. Open visual Studio

open the terminal on visual studio

3. Run the application

streamlit run App.py

libraries

• streamlit
• pandas
• numpy
• plotly.express
• plotly.graph_objs
• matplotlib.pyplot

Preview

Home Page

Load CSV

Compose and mix sinusoidals

Orginal + Reconstructed

Difference without sampling with 2 fmax

• Orginal signal minus the Reconstructed

Difference sampling with 2 fmax

• Orginal signal minus the Reconstructed

Add noise