Pinned Repositories
Antenna-Selection
Some basic antenna selection algorithms
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Cell-Free-MIMO-Refs
Cell-Free MIMO 学习交流资料
deepHybridBeamforming
These MATLAB scripts are prepared by A.M.E for the following paper, A. M. Elbir, "CNN-Based Precoder and Combiner Design in mmWave MIMO Systems," IEEE Communications Letters, vol. 23, no. 7, pp. 1240-1243, July 2019 please cite the above work if you use this codes, For any comments and questions please email: ahmetmelbir@gmail.com This codes can also be used with slight modification for applications, such as antenna selection + multi-user hybrid beamforming and DOA estimation.
Denoising-HOM-for-DMI
This is the Matlab code for the paper "Denoising Higher-Order Moments for Blind Digital Modulation Identification in Multiple-Antenna Systems" published in the IEEE Wireless Communications Letters.
DoA-ML
matlab code for AoA Estimation of ULA/UCA
doa-tools
A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.
evolutionary-antenna-design-in-mimo
Code for Joint Optimization of Waveform Covariance Matrix and Antenna Selection for MIMO Radar With Application to Aerial Drones
GNN-Communication-Networks
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
PCA_MUSIC
Matlab code for my paper "Bayesian inference for PCA and MUSIC algorithms with unknown number of sources", IEEE Trans. on signal processing, 2018
kaizhongkaizhong's Repositories
kaizhongkaizhong/evolutionary-antenna-design-in-mimo
Code for Joint Optimization of Waveform Covariance Matrix and Antenna Selection for MIMO Radar With Application to Aerial Drones
kaizhongkaizhong/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
kaizhongkaizhong/202008-hybrid-rcg
An implementation of the Hybrid Riemannian conjugate gradient method
kaizhongkaizhong/Ambiguity-function
Calculating and plotting ambiguity function of a radar-repeater network
kaizhongkaizhong/Automatic-Modulation-Classification-1
Accumulated Polar Feature-based Deep Learning for Automatic Modulation Classification
kaizhongkaizhong/awesome-deep-neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
kaizhongkaizhong/awesome-ml4co
kaizhongkaizhong/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
kaizhongkaizhong/BeamPatternDesign
Optimal Beam Pattern Design for Hybrid Beamforming in Millimeter Wave Communications
kaizhongkaizhong/botorch
Bayesian optimization in PyTorch
kaizhongkaizhong/D-AMP_Toolbox
This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.
kaizhongkaizhong/DNN-DOA
kaizhongkaizhong/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
kaizhongkaizhong/geotorch
A library for constrained optimization and manifold optimization for deep learning
kaizhongkaizhong/Hybrid-Beamforming-Design-for-mmWave-Enabled-Massie-MIMO-Systems
kaizhongkaizhong/kbfgs_neurips2020_public
kaizhongkaizhong/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
kaizhongkaizhong/manopt
Manopt, a Matlab toolbox for optimization on manifolds
kaizhongkaizhong/MIMO_OFDM-1
k-Modular Quadratic Programming Algorithm for PAPR in MIMO OFDM
kaizhongkaizhong/MIMO_SingleRIS
kaizhongkaizhong/pdADMM
kaizhongkaizhong/pyroomacoustics
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
kaizhongkaizhong/pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
kaizhongkaizhong/RadarWaveformsML
Manipulation of Radar and Communication Waveforms using new ML algorithms but not forgetting the Old Tricks
kaizhongkaizhong/Ranger-Deep-Learning-Optimizer
Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase
kaizhongkaizhong/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
kaizhongkaizhong/robust-adaptive-beamforming-algorithm
kaizhongkaizhong/SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.19
kaizhongkaizhong/SimulatedRadarWaveformGenerator
A software tool that generates simulated radar signals and creates RF datasets for developing and testing machine/deep learning detection algorithms.
kaizhongkaizhong/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.