tommy6401

tommy6401's Stars

• yuxianghao/Alternating-minimization-algorithms-for-hybrid-precoding-in-millimeter-wave-MIMO-systems

  Simulation codes for "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems," by Xianghao Yu, Juei-Chin Shen, Jun Zhang, and Khaled B. Letaief, IEEE J. Sel. Topics Signal Process., to appear, 2016.

  Language:Matlab20071

• canyilu/Tensor-tensor-product-toolbox

  tensor-tensor product toolbox

  Language:MATLAB7240

• hiroyuki-kasai/HybridPrecodingOpt

  Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0

  Language:MATLAB8034

• lxf8519/DL-hybrid-precoder

  Source code for paper Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems

  Language:Python5728

• cost2100/cost2100

  This is the COST2100 channel model, a MATLAB implementation of a spatially consistent radio channel model for MIMO and Massive MIMO communication. Originally developed within COST 2100 (http://www.cost2100.org/) and then further extended in COST IC 1004 (http://www.ic1004.org/) and COST CA15104 IRACON (http://www.iracon.org/)

  Language:HTML7536

• henkwymeersch/5GPositioning

  This is a demonstration of 5G mmWave positioning

  Language:Matlab3730

• lxf8519/GAN-cov-matrix

  Code for paper "Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave System"s

  Language:Python95

• TianLin0509/Hybrid-Beamforming-for-Millimeter-Wave-Systems-Using-the-MMSE-Criterion

  The Matlab Simulation codes for Hybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion.

  Language:MATLAB14548

• hwalsuklee/tensorflow-generative-model-collections

  Collection of generative models in Tensorflow

  Language:Python3.9k859

• DongSylan/LIMC

  Codes for the paper titled "Enhancing Matrix Completion via Using a Modified Second-order Total Variation"

  51

• ken0225/Reproducible-Research-Reliable-CE-TWC17

  Reproducible research on the paper “Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array“.

  Language:MATLAB219

• ricedsp/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.

  Language:MATLAB19887

• cszn/DnCNN

  Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

  Language:MATLAB1.4k533

• hehengtao/LDAMP_based-Channel-estimation

  This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852–855, Oct. 2018.

  12954

• JoonyoungYi/MCAM-numpy

  Low-rank Matrix Completion using Alternating Minimization

  Language:Python225

• ML4Comm-Netw/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

  1.8k639

• DeepMIMO/DeepMIMO-matlab

  DeepMIMO dataset and codes for mmWave and massive MIMO applications

  Language:MATLAB14553

• andrewssobral/mctc4bmi

  Matrix and Tensor Completion for Background Model Initialization

  Language:MATLAB10645

• uestctensorgroup/code_SMFLRTC

  matlab code

  22

• emilbjornson/massivemimobook

  Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.

  Language:MATLAB342147