{"id":23008726,"url":"https://github.com/mdlmab/fouriertransform","last_synced_at":"2026-05-01T13:32:52.408Z","repository":{"id":268094122,"uuid":"903297915","full_name":"MDLMAB/FourierTransform","owner":"MDLMAB","description":"Fourier transform in MATLAB and Python, and its applications in digital signal processing and image processing.","archived":false,"fork":false,"pushed_at":"2024-12-22T11:27:13.000Z","size":47,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"principal","last_synced_at":"2025-04-02T16:11:27.906Z","etag":null,"topics":["digitalprocessing","fouriertransform","imageprocessing","matlab","python3"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MDLMAB.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-14T08:31:54.000Z","updated_at":"2024-12-22T11:27:16.000Z","dependencies_parsed_at":"2024-12-14T09:29:28.439Z","dependency_job_id":"2eb78057-59d9-4b45-9103-7565a71b63e5","html_url":"https://github.com/MDLMAB/FourierTransform","commit_stats":null,"previous_names":["mdlmab/fouriertransform"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MDLMAB%2FFourierTransform","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MDLMAB%2FFourierTransform/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MDLMAB%2FFourierTransform/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MDLMAB%2FFourierTransform/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MDLMAB","download_url":"https://codeload.github.com/MDLMAB/FourierTransform/tar.gz/refs/heads/principal","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246847140,"owners_count":20843444,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["digitalprocessing","fouriertransform","imageprocessing","matlab","python3"],"created_at":"2024-12-15T09:10:17.155Z","updated_at":"2026-05-01T13:32:52.374Z","avatar_url":"https://github.com/MDLMAB.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# **Fourier Transform Learning Journey** 📊  \n\nWelcome to my **Deep Learning** repository! 🐒  \n\nThis 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.\n---\n\n## **Overview** 🌟  \n\nThe **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:\n\n- **Signal Processing**: Filtering, compression, and noise reduction.  \n- **Data Analysis**: Spectral analysis of time series data.  \n- **Image Processing**: Compression techniques (e.g., JPEG) and feature extraction.  \n- **Control Systems**: Stability and frequency response analysis.  \n- **Audio and Speech**: Equalization, synthesis, and noise cancellation.  \n\nThis repository contains structured **notes, tools, and experiments** that I develop as I progress in my studies.  \n\n---\n\n## **What You'll Find in This Repository** 📁  \n\n1. **Learning Notes**: Summaries and explanations of key Fourier Transform concepts.  \n2. **Practical Tools**: Scripts and utilities for performing Fourier analysis (Matlab/Python-based).  \n3. **Experiments**: Step-by-step projects that demonstrate the use of Fourier Transform in real-world problems. \n\n---\n\n## **Goals of the Repository** 🎯  \n\n- To **document my learning process** as I explore the theory and applications of the Fourier Transform.  \n- To create a **reference hub** for anyone interested in signal and frequency analysis.  \n- To share **practical implementations** and insights gained through experimentation and personal projects.  \n\n---\n\n## **Current Status** 🚧  \n\nI 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:  \n\n- **NumPy**: For numerical analysis.  \n- **Matplotlib**: For visualizing signals and frequency components.  \n- **SciPy**: For advanced signal processing tasks.  \n\n## 🐒🍌🐒🍌🐒🍌🐒🍌🐒🍌🐒🍌\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmdlmab%2Ffouriertransform","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmdlmab%2Ffouriertransform","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmdlmab%2Ffouriertransform/lists"}