Sampling Studio is a webapp that depicts signal sampling and recovery while emphasising the significance and validation of the Nyquist rate.
| Name | Section |
|---|---|
| Aya Sameh Ahmed | 1 |
| Mohamed Hashem Abdelwareth | 2 |
| Mina Safwat Samy | 2 |
| Yehia Said Ahmed | 2 |
- Clone the repository
$ git clone https://github.com/YehiaSAhmed/DSP_Task1_Team28- Navigate to repository directory
$ cd DSP_Task1_Team28- install project dependencies
pip install -r requirements.txt- Run the application
streamlit run app.py- streamlit
- pandas
- numpy
- plotly.express
- plotly.graph_objs
- matplotlib.pyplot
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 (with a range from 1 to 5fmax) or another frequency number (in Hz).
- Visualize Interactive plots (zoom , pan, slice, and download as images).
- View and Hide each curve on the same graph.
- 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.
