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Deep Learning for Massive MIMO with 1-Bit ADCs
An implementation of the Hybrid Riemannian conjugate gradient method
We propose a novel and robust method for acoustic direction finding, which is solely based on acoustic pressure and pressure gradient measurements from single Acoustic Vector Sensor (AVS). We do not make any stochastic and sparseness assumptions regarding the signal source and the environmental characteristics. Hence, our method can be applied to a wide range of wideband acoustic signals including the speech and noise-like signals in various environments. Our method identifies the “clean” time frequency bins that are not distorted by multipath signals and noise, and estimates the 2D-DOA angles at only those identified bins. Moreover, the identification of the clean bins and the corresponding DOA estimation are performed jointly in one framework in a computationally highly efficient manner. We mathematically and experimentally show that the false detection rate of the proposed method is zero, i.e., none of the time-frequency bins with multiple sources are wrongly labeled as single-source, when the source directions do not coincide. Therefore, our method is significantly more reliable and robust compared to the competing state-of-the-art methods that perform the time-frequency bin selection and the DOA estimation separately. The proposed method, for performed simulations, estimates the source direction with high accuracy (less than 1 degree error) even under significantly high reverberation conditions.
Classical adaptive linear filters in Julia
ADMMiRNN: Training RNN with Stable Convergence via An Efficient ADMM Approach
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.
Useful code such as proxgrad, FISTA,ADMM, coordinate descent (all for lasso) plus projection onto unit ball... from AMATH 515
Calculating and plotting ambiguity function of a radar-repeater network
Some basic antenna selection algorithms
Machine learning accelerated Branch and Bound for Joint beamforming and antenna selection
Simulation of atenna array. Beamforming and DOA estimation.
Some Code for Master Thesis - Research on Deep Learning Based Modulation Recognition Technologies
Accumulated Polar Feature-based Deep Learning for Automatic Modulation Classification
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
Latex CV template built with Font Awesome.
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.
speech enhancement\speech seperation\sound source localization
A Python implementation of global optimization with gaussian processes.
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
Optimal Beam Pattern Design for Hybrid Beamforming in Millimeter Wave Communications
Beamforming design with deep learning.
Bayesian optimization in PyTorch
Matlab code for block successive convex approximation algorithms
Cell-Free MIMO 学习交流资料
Compare AIRES BSS with TRINICON, ILRMA and AuxIVA (online and offline versions)
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.
data-driven deep learning-based hybrid beamforming
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.