abx's starred repositories
GitHubDaily
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
Link-state-protocol-in-python
This project implenments the OSPF using Dijkstra algorithm (Open Shortest Path First) network protocol in python. Link-State Routing protocol is a main class of routing protocols. It is performed by every switching node/router in the network. The basic concept of link-state routing is that every node constructs a map of the connectivity to the network, in the form of a Graph, showing which nodes are connected to which other nodes. Each node then independently calculates the next best logical path from it to every possible destination in the network. The collection of best paths will then form the node's routing table. OSPF: ----- Open Shortest Path First (OSPF) is a link-state routing protocol for Internet Protocol (IP) networks. It uses a link state routing algorithm and falls into the group of interior routing protocols, operating within a single autonomous system (AS). OSPF is perhaps the most widely used interior gateway protocol (IGP) in large enterprise networks. IS-IS, another link-state dynamic routing protocol, is more common in large service provider networks. The most widely used exterior gateway protocol is the Border Gateway Protocol (BGP), the principal routing protocol between autonomous systems on the Internet. * Advantages of link state routing (as opposed to distance vector routing) include that link state routing converges rather quickly and * is not subject to the count-to-infinity problem; hence, no measures to combat this problem need to be taken. As the full network topology * is known to every node, rather advanced routing techniques can be implemented. * Disadvantages include that the link state information needs to be flooded through the network, causing higher overhead than link state protocols. * The memory and computational requirements are also higher. OSPF is an interior gateway protocol that routes Internet Protocol (IP) packets solely within a single routing domain (autonomous system). It gathers link state information from available routers and constructs a topology map of the network. The topology determines the routing table presented to the Internet Layer which makes routing decisions based solely on the destination IP address found in IP packets. OSPF was designed to support variable-length subnet masking (VLSM) or Classless Inter-Domain Routing (CIDR) addressing models.
smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
GeneticCrn
Simulation code for the paper "Genetic Algorithm Aided Transmit Power Control in Cognitive Radio Networks"
daily_arxiv
Using GitHub Action to collect paper list with publicly available source code in the daily arxiv
Singal-CNN
An implementation of "Convolutional Radio Modulation Recognition Networks"
Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
Wireless-Communication-Project
Research paper on Dynamic Spectrum Access-sharing and innovation in it
Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
spectrum-sensing-methods
Experiments with spectrum sensing methods
Transformer
Learning materials of Transformer, including my code, XMind, PDF and so on
Multi-Independent-Agent-Reinforcement-Learning-UAV-Autonomous-Spectrum-QLearning
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning
multi_player_multi_armed_bandit_algorithms
Implementation of state-of-the-art multi-player multi-armed bandit problem algorithms.
Dataset-Generation-for-DL-based-Spectrum-Sensing
*Source code for dataset generation of paper "Spectrum Sensing in Cognitive Radio: A Deep Learning Based Model" *our dataset generation source is based on the method in "T. O’Shea and N. West, “Radio machine learning dataset generation with gnu radio,” in Proc. GNU Radio Conference (GRCon16), vol. 1, 2016."(https://github.com/radioML/dataset).
SEU-master-thesis
东南大学硕士研究生学位论文LaTeX模板
tracking-with-Extended-Kalman-Filter
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
PyQt-Fluent-Widgets
A fluent design widgets library based on C++ Qt/PyQt/PySide. Make Qt Great Again.