# Hello-DSP

**Repository Path**: ChesterLeeRepo/hello-dsp

## Basic Information

- **Project Name**: Hello-DSP
- **Description**: 📚 Hello-DSP 🚀 Track my DSP learning journey! Explore core concepts (FFT, filters, sampling) with Python code, projects , and resources. Balancing theory & practice—ideal for learners! 👩💻🔬
- **Primary Language**: Python
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-05-08
- **Last Updated**: 2025-05-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 📚 Hello-DSP: My Digital Signal Processing Learning Journey! 🔢

Welcome to Hello-DSP – a cozy corner for exploring the fascinating world of Digital Signal Processing (DSP)! 🌍✨ Here, I document my learning adventures, from foundational concepts to hands-on implementations, all while embracing the joy of curiosity and code.

Inside, you’ll find:

- 🔬 Core DSP Theory: Basics of sampling, filtering, FFT, convolution, and time-frequency analysis (think Fourier, 小波 wavelets, STFT!).
- 💻 Code Examples: Python (NumPy, SciPy, Librosa) for rapid prototyping + C++ (Eigen, FFTW) for performance-critical tasks – balancing clarity and efficiency.
- 🚀 Projects: Simple audio processing (noise reduction, pitch detection), sensor data analysis, and mini DSP pipelines – turning theory into tangible applications.
- 📖 Notes & Resources: Cheat sheets, math derivations, and recommended tutorials for beginners (because learning DSP should be fun, not frightening! 😊).

Whether you’re a student, hobbyist, or aspiring engineer, this repo is a space to learn by doing. Expect messy drafts, polished solutions, and plenty of “aha!” moments. 🌟

Join the journey! Contributions, feedback, and questions are always welcome – let’s decode signals together! 🎛️🔊

Tools: Python • NumPy • SciPy • Matplotlib
Topics: Filters • FFT • Spectral Analysis • Signal Synthesis • Machine Learning in DSP

Happy signal processing! 🎵📊🚀