caidonghong

DeepMIMO-Deep-Neural-Networks-in-MIMO-systems

We will apply deep machine learning in the classical MIMO detection problem and understand its advantages and disadvantages.

MIMO_detection

A study of MIMO wireless communication.

MIMO_detection_algorithms

MIMO检测程序

ADMM-Net-for-MIMO-Detection

matrix-completion

An ADMM + Compressed Sensing algorithm to estimate a low-rank sparse matrix

LassoADMM

Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"

DeepIoT

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework

PrivacyOptimizationSubspace

Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework

MLSF

Multi-Label Classification by Mining Meta-Label Specific Features.

Consensus-ADMM-Algorithm-for-mMTC-Detection

THU-MCMC

随机过程大作业-蒙特卡洛方法

gpstuff

GPstuff - Gaussian process models for Bayesian analysis

optimizer

MCMC, Differential Evolution Markov Chain, Ensemble Kalman filter, Approximate Bayesian Computing-Population Monte Carlo, and modeling averaging methods in Matlab.

NPBayesHMM

Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP-HMM). Implemented in Matlab.

DBP

Simulation code for decentralized baseband processing (DBP) in massive MIMO systems

fastRPCA

Matlab code for all variants of robust PCA and SPCP

TV_L1_Denoising_via_ADMM

BSBL-FM

A fast implementation of the Block Sparse Bayesian Learning algorithm

Downlink-and-Uplink-cellular-network-analysis-using-stochastic-geometry

Modelling of Base stations using a homogeneous Poisson point process. Computation of Signal to Noise and Interference ratio (SINR) and Coverage probability for downlink and uplink scenarios

DetPoisson_MATLAB

Simulation and fitting determinantally-thinned (Poisson) point processes

Stochastic-Processes

Point Poisson Process

overparameterized_convolutional_generators

Nonconvex-localization

Simulations for Paper Sensor Network Event Localization via Non-convex Non-smooth ADMM and Augmented Lagrangian Methods

ADMM-Project

Project for CMSC 663 and 664 involving adaptive ADMM

SGSNMF_TGRS

X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp.6287-6304, 2017.

Lq-Sparse-Recovery

Recovery and Demixing of Sparse Signals Using Nonconvex Regularization

ncreg

A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning

ProxL1-L2

The source codes for the paper "Fast l1-l2 minimization via a proximal operator”

cs-with-prior-information

This repository provides a Matlab implementation of the ADMM-based solvers for L1-L1 and L1-L2 minimization.

BAdVAMP

Bilinear Adaptive Vector Approximate Message Passing