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woojp's Projects

advanced-lane-lines icon advanced-lane-lines

A pipeline that can detects lane boundaries, predicts upcoming curves, and measures lane curvature.

art-6lowpan icon art-6lowpan

ART-6LoWPAN project source code, design, tutorial and others docs | ART-6LoWPAN 开源项目的源码、设计、教程及其他文档

cnn-fpga icon cnn-fpga

使用Verilog实现的CNN模块,可以方便的在FPGA项目中使用

cvx icon cvx

A MATLAB system for disciplined convex programming

d2det icon d2det

D2Det: Towards High Quality Object Detection and Instance Segmentation (CVPR2020)

darknet icon darknet

Windows and Linux version of Darknet Yolo v2 & v3 Neural Networks for object detection

fft icon fft

VHDL implementation of FFT algorithm(s)

gemini icon gemini

Gemini is an IDE framework similar in concept to the Visual Studio Shell. It uses AvalonDock and has an MVVM architecture based on Caliburn Micro.

genann icon genann

simple neural network library in ANSI C

generic_mcu_software_infrastructure icon generic_mcu_software_infrastructure

Provide necessary software infrastructure, service, macros to support some high level abstruct concept or paradigm, such as OOPC, FSM, delegate (event-driven) and etc

insulatordataset icon insulatordataset

Provide normal insulator images captured by UAVs and synthetic defective insulator images.

jpeg_open icon jpeg_open

A hardware MJPEG encoder and RTP transmitter

ldpc icon ldpc

C and MATLAB implementation for LDPC encoding and decoding

malaga-distribution icon malaga-distribution

Simulation code for Malaga distribution implemented in the paper E. Balti, M. Guizani, B. Hamdaoui and B. Khalfi, "Aggregate Hardware Impairments Over Mixed RF/FSO Relaying Systems With Outdated CSI," in IEEE Transactions on Communications, vol. 66, no. 3, pp. 1110-1123, March 2018

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

massivemimobook icon 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.

matlab-wsn-code-with-swarm-optimization-aco-ant-colony-optimization- icon matlab-wsn-code-with-swarm-optimization-aco-ant-colony-optimization-

In this code (fully functional, even kind slow when entering ACO routine) you can see that: there are 2 scenarios: FIRST) A WSN network WITHOUT ACO, consuming nodes energy because of routing protocol (shortestpath) using same route till nodes dieing.... SECOND) SAME WSN network of forst step WITH ACO, consuming nodes energy because of routing protocol (shortestpath) BUT changing routes because of ACO analisys of energy amount of the path in use.

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