xiaogaogaoxiao Goto Github PK

nonlinearunmixingvector

This demo reproduces the results reported in the paper "Nonlinear unmixing of hyperspectral data with vector-valued kernel functions," R. Ammanouil, A. Ferrari, C. Richard and S. Mathieu 2016 IEEE Transactions on Image Processing (To appear).

nonparametric_shape_feature_priors_for_segmentation

Nonparametric Joint Shape and Feature Priors for Image Segmentation - IEEE Transactions on Image Processing 2017

novel-bec

Matlab Implementation of "A Novel Approach to Improving Burst Errors Correction Capability of Hamming Code". http://ieeexplore.ieee.org/document/4348260/

nrp_tmmse

Noise Reduction Preprocessing-based Fully Automatic Diagonal Loading Method for Robust Adaptive Beamforming

ns3_802.11_frame_aggregation

ns3 scripts for simulating scenarios in which 802.11 frame aggregation is studied. Jose Saldana, Jose Ruiz-Mas, Jose Almodovar, "Frame Aggregation in Central Controlled 802.11 WLANs: the Latency vs. Throughput Trade-off," IEEE Communications Letters, accepted for publication, August 2017.

nsysu-thesis-latex-template

National Sun Yat-sen University (NSYSU) Thesis LaTEX Template

numer.ai

Python script of the numer.ai competition for stock market prediction. The strategy here is to rely on an esembling method called "Meta Bagging" (see: https://www.kaggle.com/c/otto-group-product-classification-challenge/discussion/14295)

objectivereduction

Objective Reduction Based on Nonlinear Correlation Information Entropy

ocd_sim

Simple massive MU-MIMO system simulator for Optimized Coordinate Descent (OCD)

ofdm_dnn

ofdm_im

OFDM with Index Modulation (OFDM-IM) with various detection types and imperfect CSI

okumura-hata

one-bit-doa-via-gr-sbl-algorithm

Please run the demo directly

onebit_adquant_code

one bit adaptive qunatization with NNSPL method

onebit_mimo

Source files for our recent published paper: Efficient Nonlinear Precoding for Massive MU-MIMO Downlink Systems with 1-Bit DACs; If you use our codes, please cite our paper.

online-space-variant-background-modeling-with-sparse-coding

This project is an implementation of "Online Space-Variant Background Modeling With Sparse Coding" Alessandra Staglianò, Nicoletta Noceti, Alessandro Verri, and Francesca Odone (IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 24, NO. 8, AUGUST 2015)

online-vehicle-routing-drl

PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplore.ieee.org/document/8693516

online_distributed_opf

MATLAB implementation of the paper "Online Distributed Optimal Power Flow with Equality Constraints" [arXiv 2022].

opf-admm

Using Alternating Direction Method of Multipliers to solve AC Optimal Power Flow Problem

opfsdr

Semidefinite relaxation of optimal power flow problems

opine-net

Optimization-Inspired Compact Deep Compressive Sensing, JSTSP2020 (PyTorch Code)

optimal-control-via-neural-networks

Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach

optimal-edge-server-placement-using-k-means-and-pso

Optimal placement of edge servers using K-means Clustering and Power allocation using Particle Swarm Optimization

optimalprecodingmimo

Matlab codes for the paper "Deep-Learning Based Linear Precoding for MIMO Channels with Finite-Alphabet Signaling" by Max Girnyk, Physical Communication, vol. 48, 101402, Oct. 2021.

optimization

Optimization Course Assignments under the supervision of Dr. Maryam Amirmazlaghani

optimization-for-wireless-communications

optimization-methods-for-multi-user-detection-in-uplink-grant-free-noma

optimization-of-secure-emergency-call-services-in-asynchronous-noma-d2d-network

Optimization of Secure Emergency Call Services in Asynchronous-NOMA D2D Network

optimization_method

Interior Point to solve Quadratic Programming problem. The method is also improved by using Schur Complement of following paper: Wang, Yang, and Stephen Boyd. "Fast model predictive control using online optimization." IFAC Proceedings Volumes 41.2 (2008): 6974-6979.

optimizationinfinance

This repository provides companion Excel and MATLAB code for the book by G. Cornuejols, J. Pena, and R. Tutuncu, "Optimization Methods in Finance", second edition, Cambridge University Press, 2018.