ahmedhassan187/sampling_studio

Signal Sampling Studio

Designing a signal recovery web-application that depicts the Nyquist rate, using streamlit, an open source framework.

Features

• generating sinusoidal signals at the user-specified frequency and amplitude.
• Reading of csv signal files and the sampled points are marked on the signal.
• Adjusting the sample frequency with sample rate slider or slider of maximum frequency scale.
• Reconstructing the signal from the sampled points.
• The sum of the generated sinusoidals, and the reconstructed ones are shown on a single graph, where user can choose which to be shown.
• A button to delete the user-choosen sinusoidal.
• A slider for adding noise to the signal by a user-specified SNR value.
• Saving the reconstructed signal to the user's computer using download button.

Deployment

To deploy this project run

  pip install -r requirements.txt 

  streamlit run app.py

Screenshots

• Default Signal

• Sampling an added signal without noise

• Sampling an added signal with noise

Demo

About Us

• This project was made for a task in the fifth semester of SBME, for digital signal processing course, and was submitted to the course's doctor in 10/31/2022

Team Number : 21

Team Members

Name	Section	Bench Number
Habiba Fathallah	1	27
Sohaila Mahmoud	1	45
Ahmed Hassan	1	4
Sara Amgad	1	38