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https://github.com/robert-dobre/signal-processing-adventures-from-fft-to-spectrograms-and-filters

An interactive signal processing challenge exploring FFT, spectrograms, and filters. Decode signals, design filters, and uncover hidden audio mysteries.
https://github.com/robert-dobre/signal-processing-adventures-from-fft-to-spectrograms-and-filters

challenge education educational-software learning-by-doing learning-resources mathworks mathworks-matlab matlab matlab-code matlab-script signal-processing signals-and-systems

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An interactive signal processing challenge exploring FFT, spectrograms, and filters. Decode signals, design filters, and uncover hidden audio mysteries.

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# Signal Processing Adventures: From FFT to Spectrograms and Filters
An interactive signal processing challenge exploring FFT, spectrograms, and filters. Decode signals, design filters, and uncover hidden audio mysteries.

Dive into the fascinating world of signal processing with this hands-on repository! Designed as both an educational journey and a playful exploration, this project takes you from mastering the Fast Fourier Transform (FFT) to creating notch filters and interpreting spectrograms. Along the way, you'll tackle engaging tasks, uncover hidden messages, and earn your place among the Fellowship of the Signal.

This is a MATLAB project that can be opened directly by pressing the button below:

[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=robert-dobre/Signal-Processing-Adventures-From-FFT-to-Spectrograms-and-Filters&file=Main.mlx)

## What You’ll Find Here

### **Interactive Learning Modules**
- **FFT Basics**: Understand how the FFT works and explore some of its practical applications.
- **Spectrogram Analysis**: Learn to visualize and decode time-frequency representations.
- **Filter Design**: Create and fine-tune notch filters to remove specific signals.

Complete the final challenge to receive your diploma as a certified "Herald of the Signal."

## Who Is This For?
This repository is perfect for:
- Students and educators exploring signal processing.
- Hobbyists and tinkerers eager to learn new skills.
- Anyone who loves a puzzle with an educational twist.

## How to Get Started
1. Clone this repository.
2. Open the Main.mlx file in Matlab.

## License
- Code is licensed under the MIT License for maximum flexibility.
- Non-code assets (e.g., instructional materials, audio files) are licensed under CC BY-SA 4.0.

Join the adventure, and may the frequencies be with you!

Signed: The Master of Initiates of the Fellowship of the Signal