# Submissions for: Behavioral Modelling of Phase-Locked Loop using Deep Learning Techniques

|#| Submission | Links |
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|1|[Deep Learning for Phase-Locked Loop Behavioral Modeling](https://github.com/lulf0020/Behavior-modeling-of-PLL)<br/> This project employs deep learning via a trained neural network to model Phase-Locked Loop behavior, estimating 6 output parameters from 15 input parameters sourced from MATLAB simulations. <br><br> **Authors:** Jiangchuan Li, Lingfeng Lu <br/> **Affiliation:** Shanghai Jiao Tong University <br> **Submission Date:** 2022-01-10|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/lulf0020/Behavior-modeling-of-PLL) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=lulf0020/Behavior-modeling-of-PLL) <br>  <br><br><br> [![Trend: Artificial Intelligence](https://img.shields.io/badge/Trend-Artificial%20Intelligence-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Artificial%20Intelligence.md)|