"Data Link Layer Framing Methods repo showcases various techniques and algorithms utilized in framing data at the data link layer of computer networks. "

A CAN Analysis & Validation Research Project for the UW EcoCAR Team where I validated in-vehicle CAN networks using a self-designed CAN test harness, and documented a physical layer validation procedure as well as a CAN training module for the team.

Some digital communications physical layer and DSP implementations in Python.

Physical Layer for the RFM12B written in VHDL

This project is a Network Simulator focusing on the Physical and Data Link Layers. It's implemented in JavaScript and requires Node.js to run.

distance traveled to get to a website

Official implementation of the neural decoder based on mutual information maximization

Record results of 5G NR downlink baseband algorithm research

"This repository is a comprehensive implementation of data link layer protocols in the field of networking. Also showcases a meticulous approach towards implementing various protocols at the data link layer, enabling developers to understand, experiment."

Python 5G toolbox provide 3GPP 5G NR physical layer high-phy and low-phy libraries. It has passed 60K+ testcases which were generated from Matlab 5G toolbox.

A conversion code from digital data elements to digital signals according to Line Coding Schemes in Python.

"This repository focuses on implementing data link layer error detection codes. Providarious error detection techniques used in data communices methods for vations at the data link layer."

Simulations, Paper Submission Drafts and Patent Applications for Research on Hierarchical Modulations

Train and evaluate autoencoders able to transmit data over a wireless channel, using TensorFlow and Keras frameworks.

Python module for 5G NR sync signals and decoding.

Physical and Data Link Layer funtionalities of the TCP/IP Model. Manchester Encoding, Cyclic Redundancy Check (CRC), Frame by Frame communication and plotting graphs by PyLab.

北京邮电大学 2023-2024 春季学期《计算机网络》课程作业集合