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@xiaogaogaoxiao

xiaogaogaoxiao

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Registered over 5 years ago
Most used languages

MATLAB
47.8 %

Python
39.1 %

Jupyter Notebook
8.7 %

CMake 4.3 %

Multiple-UAV-Trajectory-and-Power-Control

Simulation and documentations of Multiple UAV TPC optimization

Hybrid-Relay-RIS

Hi all, some readers ask me the code for channel modeling and Algorithms in the paper "Hybrid Relay-Reflecting Intelligent Surface-Assisted Wireless Communication" (available on https://arxiv.org/pdf/2103.03900.pdf ). I upload them here, and hope this helps!!!

lotteryPredict

bp神经网络进行时时彩预测

UAV_relay_DQN

论文UAV relay in VANETs against smart jamming with reinforcement learning DQN版本

BsplineTrajectory

A Matlab implementation of the B-spline trajectory algorithm in paper "Robust real-time UAV replanning using guided gradient-based optimization and topological paths"

Precoding_Code

UAV_relay_simulation

UAV relay in VANETs against smart jamming with reinforcement learning论文仿真

Cell_Free_MIMO

Parkinsons-disease-prediction-in-a-fully-unsupervised-way-using-PCANet-and-K-means

A deep learning model to predict Parkinson’s disease using MRI in a fully unsupervised way (without making use of any class label). PCANet was employed for Feature extraction, and the extracted features are classified using unsupervised K-means clustering algorithm. The PCANet learns the filters by doing PCA (Principal Component Analysis) on the input data, rather than doing tedious Gradient descent optimization.

Jupyter Notebook

Density-Peak-based-Noisy-Label-Detection-for-Hyperspectral-Image-Classification

This code is for our paper "Density Peak-based Noisy Label Detection for Hyperspectral Image Classification". If you use this code, please kindly cite our paper: Bing Tu, Xiaofei Zhang, Xudong Kang, Guoyun Zhang and Shutao Li, "Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 3, pp. 1573-1584, Mar. 2019. If you have any questions, please contact us. Email: [email protected].

PrimalDualDecomp

This code accompanies the paper "Primal-dual decomposition by operator splitting and applications to image deblurring."

Easy-Money-Crawler

东方财富网爬虫

DEVFNN

An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams. IEEE Transactions on Fuzzy Systems ( Early Access ).

AntMiner_Algorithm

An implementation of the ACO algorithm AntMiner described in "Parpinelli, R.S., Lopes, H.S. and Freitas, A.A., 2002. Data mining with an ant colony optimization algorithm. IEEE transactions on evolutionary computation, 6(4), pp.321-332."

Signal-Denoising-and-Detection-for-LoRa-based-on-AE-and-CNN

This is the Matlab code for the paper "Signal Denoising and Detection for Uplink in LoRa Networks based on Bayesian-optimized Deep Neural Networks" submitted in the IEEE Communications Letters.

bachelor_thesis

Partial implementation of the bachelor's thesis "Real-time stock predictions with Deep Learning and news scrapping".

cell_free_mMIMO

Introduction-to-Algorithms-3rd

Python codes for this book and the book's excercises by myself

CNO-SBL

A sparse Bayesian learning algorithm based on collaborative neurodynamic optimization

FS-WBP

Fast Iterative Bregman Projection

gr-AnyScatter

Technology Independent Ambient Backscatter Receiver

Problem-of-base-stations-optimal-placement

Problem solving by the branch and bound method

ionmol_stoi

Paper manuscript available in https://arxiv.org/abs/1909.13847 and in consideration for publication in the Journal of Physics B: Atomic, Molecular and Optical Physics.

Jupyter Notebook