Signal Sampler

Description

• Desktop Application Designed To Demonstrate The Principles Of Signal Sampling & Recovery Based On The Nyquist–Shannon Sampling Theorem
• User-Friendly Interface For Easy Visualization Of Different Samping Scenarios
• Provides Additional Reconstruction Methods

Tech Stack Used

Functionality
UI
Styling

Features

1. Signal Browsing

• Browse A Signal File (Make Sure Its Format & Extension Are The Same As The Files Inside signals Directory)

2. Signal Mixer

• Sample At Different Frequncies, Showcasing The Difference Between Complete Reconstruction & Aliasing In Real Time

 

• Add A Sinusoidal Signal Of Custom Amplitude, Frequency & Phase

 

• Remove A Sinusoidal Signal From The Combined Signal

3. Noise Addition

• Add Noise To The Combined Signal Using Controllable SNR Slider

4. Different Reconstruction Methods

• Reconstruct The Signal Using Different Methods

5. Testing Scenarios

• Generate Premade Test Scenarios Having Different Combined Signals

Installation

1. Make Sure That Pip & Python Are Installed On Your System

2. Clone The Repo Onto Your Local System or Download The Zip File & Extract It

    git clone https://github.com/mostafa-aboelmagd/signal-sampling-visualizer.git

3. Nagivate To The Project's Directory

4. Install The Required Libraries

   pip install -r requirements.txt

5. Run MainWindow.py File

   python MainWindow.py

Contributors

Name	GitHub	LinkedIn
Mostafa Ayman
Ali Zayan
Zeyad Amr
Mostafa Mousa
Omar Khaled