Author: Igor L.R. Azevedo - The University of Tokyo & University of Brasilia
Email: [email protected]
GitHub: igor17400/dsp-174
This work aims to provide a summary of signal processing that achieves a balance, as indicated by the title—not overly concise yet not as exhaustive as a comprehensive textbook. My intention was to explore essential content with more depth than a typical summary offers, yet not as extensively as a canonical textbook. At the same time, the idea is to combine several high-quality tutorials available online, which might be helpful in understanding and gaining a clear vision of signal processing. While this isn’t just a collection of equations, it also isn’t a book or paper that aims to make a significant contribution. Ultimately, my goal is to present a practical approach to signal processing that may be useful for those trying to better understand this subject. In any case, I hope this proves helpful to someone beyond myself. If you’ve read this far, thank you, and stay safe!
To use this summary just access the following link: https://dsp.n2sqseries.com/
This summary includes, but is not limited to, the following signal processing topics:
- Fourier Transform and its applications
- Digital filters (FIR and IIR)
- Sampling and quantization
- Discrete-time signals and systems
- Frequency analysis
- Signal modulation techniques
Contributions to improve this summary are welcome! If you'd like to contribute:
- Fork the repository
- Create a new branch (
git checkout -b feature/your-feature-name) - Make your changes
- Commit your changes (
git commit -am 'Add some feature') - Push to the branch (
git push origin feature/your-feature-name) - Create a new Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
I hope this proves to be helpful to someone other than just me!
✧⁺⸜(^-^)⸝⁺✧