项目作者： biaojiang
项目描述 ：
Signal processing algorithms and implementations
高级语言： Python
项目地址: git://github.com/biaojiang/Signal-Processing.git
Combined README
📘 Statistical Learning Notes
Signal Processing Techniques
To be continuously updated, and all the files will be mainly based in Python.
Repo structure
- src/filter is the digital filter design.
- notebooks/statistical_learning includes the
.py and .ipynb files for the examples in the book An Introduction to Statistical Learning.
🔊 Signal Processing Projects
A collection of projects and implementations focused on Discrete-Time Signal Processing, inspired by the textbook by Alan V. Oppenheim and real-world DSP challenges.
📚 Inspiration
This section is grounded in the principles from:
Discrete-Time Signal Processing
Alan V. Oppenheim, Ronald W. Schafer, John R. Buck
🧠 Topics Covered
- Digital filters (FIR, IIR, Kalman filters)
- Linear regression in signal analysis
- Spectral analysis and transforms
- Signal reconstruction and sampling theory
- Sensor data denoising and prediction
- Real-world audio and time series processing
⚙️ Technologies
- Python 3
- NumPy, SciPy
- Jupyter Notebooks
- Matplotlib, seaborn
📌 Goals
- Reinforce theoretical DSP concepts with Python-based practice.
- Build a library of practical signal processing examples.
- Share useful tools and code for both beginners and professionals.
🚧 In Progress
This repo is a work-in-progress. New chapters, filters, and real-world datasets will be added regularly.
