https://github.com/mdlmab/fouriertransform
Fourier transform in MATLAB and Python, and its applications in digital signal processing and image processing.
https://github.com/mdlmab/fouriertransform
digitalprocessing fouriertransform imageprocessing matlab python3
Last synced: 9 months ago
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Fourier transform in MATLAB and Python, and its applications in digital signal processing and image processing.
- Host: GitHub
- URL: https://github.com/mdlmab/fouriertransform
- Owner: MDLMAB
- License: mit
- Created: 2024-12-14T08:31:54.000Z (about 1 year ago)
- Default Branch: principal
- Last Pushed: 2024-12-22T11:27:13.000Z (about 1 year ago)
- Last Synced: 2025-04-02T16:11:27.906Z (9 months ago)
- Topics: digitalprocessing, fouriertransform, imageprocessing, matlab, python3
- Homepage:
- Size: 45.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# **Fourier Transform Learning Journey** 📊
Welcome to my **Deep Learning** repository! 🐒
This repository serves as a documentation of my personal journey in mastering the **Fourier Transform**, a foundational mathematical tool widely used in engineering, data science, and signal processing.
---
## **Overview** 🌟
The **Fourier Transform** is a powerful technique that allows us to analyze signals in the frequency domain, revealing how complex signals can be decomposed into simpler sinusoidal components. It has a wide range of applications in fields such as:
- **Signal Processing**: Filtering, compression, and noise reduction.
- **Data Analysis**: Spectral analysis of time series data.
- **Image Processing**: Compression techniques (e.g., JPEG) and feature extraction.
- **Control Systems**: Stability and frequency response analysis.
- **Audio and Speech**: Equalization, synthesis, and noise cancellation.
This repository contains structured **notes, tools, and experiments** that I develop as I progress in my studies.
---
## **What You'll Find in This Repository** 📁
1. **Learning Notes**: Summaries and explanations of key Fourier Transform concepts.
2. **Practical Tools**: Scripts and utilities for performing Fourier analysis (Matlab/Python-based).
3. **Experiments**: Step-by-step projects that demonstrate the use of Fourier Transform in real-world problems.
---
## **Goals of the Repository** 🎯
- To **document my learning process** as I explore the theory and applications of the Fourier Transform.
- To create a **reference hub** for anyone interested in signal and frequency analysis.
- To share **practical implementations** and insights gained through experimentation and personal projects.
---
## **Current Status** 🚧
I have started my learning journey with resources like a course on **Udemy**. The focus is currently on building a solid theoretical foundation and gradually moving into practical applications using tools like **Python** and libraries such as:
- **NumPy**: For numerical analysis.
- **Matplotlib**: For visualizing signals and frequency components.
- **SciPy**: For advanced signal processing tasks.
## 🐒🍌🐒🍌🐒🍌🐒🍌🐒🍌🐒🍌