zhoub86

@zhoub86

zhoub86 暂无简介

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    zhoub86/NeuralDemod

    This is the project solution for Winter 2019 for Communication Systems at UCLA!

    zhoub86/dsp-telecom-book-code

    Source code for Aldebaro's book on DSP and digital communications

    zhoub86/AMBER

    Autoencoder and Model Based Elimination of features using Relevance and Redundancy scores (AMBER) submitted to ICLR 2020

    zhoub86/RFML

    Radio Fingerprint Machine Learning

    zhoub86/IRAWCS

    Simulation code and additional documents for Intelligent Resource Allocation in Wireless Communications Systems

    zhoub86/gr-echo

    A GNU Radio wrapper for running the Echo protocol on USRP hardware

    zhoub86/spectre

    SPECTRE: Short packet communication toolbox

    zhoub86/Genetic-Algorithm-based-LDPC-Code-Design

    Source code from the paper: A. Elkelesh, M. Ebada, S. Cammerer, L. Schmalen, and S. ten Brink, “Decoder-in-the-Loop: Genetic Optimization-Based LDPC Code Design,” in IEEE Access, 2019.

    zhoub86/MA_GAN

    Master Thesis

    zhoub86/joint-channel-nonlinear-ofdm

    Joint Channel Estimation and Nonlinear Distortion Compensation in OFDM Receivers (Bussgang-type receiver)

    zhoub86/echo

    A PyTorch + Python 3.x implementation of the Echo protocol

    zhoub86/Geometric-Constellation-Shaping

    zhoub86/IntfClassify

    Intference Classification using Neural Network

    zhoub86/meta-demodulator

    Code for the paper "Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning"

    zhoub86/meta-autoencoder

    Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"

    zhoub86/ViterbiNet

    A Deep Learning Based Viterbi Algorithm for Symbol Detection

    zhoub86/low-precision-nnd

    Source code for the paper: "Low-Precision Neural Network Decoding of Polar Codes"

    zhoub86/RFI

    PRIUS (Promotion of Research and Innovation for Undergraduate Students) research ; Detection and Mitigation of Radio Frequency Interference during pulsar observations

    zhoub86/learning-paradigms-for-tsp

    Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)

    zhoub86/VDNet-TF-2.0

    Reproduction of "Variational Denoising Network: Toward Blind Noise Modeling and Removal" (NeurIPS 2019) in Tensorflow 2.0.

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