搜索资源列表
Fast_GVF_v1.0
- The C++/MEX implementation of Gradient Vector Flow (GVF) is much faster than the Matlab implementation. There is a demo.m file in this package, which shows how to run a simple demo. The package is used by: [1] Quan Wang, Kim L. Boyer, T
VTKmexDemo
- 1. how to obtain the VTK Visualization Tool Kit (www.vtk.org) source code 2. how to compile VTK to generate shared libraries 3. how to write a MATLAB mex file to call the VTK libraries
swt-mex
- 笔画宽度变换的matlab与c++混合实现-Stroke width transform matlab realize mixed with c++
matlab-code
- 1. Run mex -setup and choose a proper complier (Microsoft Visual C++ 6.0 is prefered) Would you like mex to locate installed compilers [y]/n? y 2. Put cec15_func.cpp and input_data folder with your algorithm in the same folder. Set this folder a
releaseV301
- edgeBox源码，通过边缘来检测图像中的物体，输出多个proposal。32位系统可用，64位系统需自行生成mex文件。-EdgeBox source code, through the edge to detect images of objects, the output of a number of proposals. 32-bit system is available, 64-bit system to generate mex file.
mpdecoder_v2.3
- he mpdecoder project provides an MATLAB class mpdecoder that allows doing message passing (MP) decoding of binary LDPC codes. The MATLAB class mpdecoder actually calls the C++ class MPDecoder through the MATLAB MEX interface, which ensures its high d
Neural-network-classifiers-in-matlab
- The following Matlab project contains the source code and Matlab examples used for neural network classifiers. Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiers Please run mexme_NN to recompile mex files
inpainting
- 图像修复，需手动添加修复区域 适合初学者也可通过mex添加到MATLAB中-Image restoration, you need to manually add a repair area for beginners can also be added to the mex through MATLAB
cvpr16_MSTSaliency-mex
- 基于最小生成树的目标显著度探测，2016cvpr-Target based on the minimum spanning tree of a significant degree of detection, 2016cvpr
SVPWM
- 用于matlab的svpwm的s函数,用mex编译后就可使用-Svpwm for matlab s function, can be used after the use of mex compiler
2015new-bilateral-filter
- 使用步骤： 1.解压缩， 2.设置matlab的c++编译环境（如果以前编译过c文件，可忽略此步骤，我的用的vs2013参照百度资料重新设置了） 3.重新编译 mex bilateralfilter_mex.c mex robustbilateralfilter_mex.c mex jointcrossbilateralfilter_mex.c mex guidedbilateralfilter_mex.c 4.run_test就可以-使用步骤： 1
edison-interface-win
- 解决了原来算法不能在matlab进行mex编译的问题，可直接在windows下进行编译执行-The original algorithm to solve the problem can not be compiled mex in matlab, can be directly compiled execution in the windows
custowdecomposiqion
- you can pass C++ objects between different MEX functions wit-You can pass the c++ objects marketers tex-mex functions provides wit
devmexcalculate
- G-P算法计算关联维的 Matlab 程序 升级版,mex函数,超快-G- P algorithm to calculate the correlation of Matlab upgrade, tex-mex function, super fast
unravel
- unravel.c 在matlab中使用mex语句编译，才能进行图像压缩的相关操作。-This is unravel.
keswgnsetter
- G-P算法计算关联维的 Matlab 程序 升级版,mex函数,超快-G- P algorithm to calculate the correlation of Matlab upgrade, tex-mex function, super fast
211179
- you can pass C++ objects between different MEX functions wit-You can pass the c++ objects marketers tex-mex functions provides wit
yhrlan359
- G-P算法计算关联维的 Matlab 程序 (升级版,mex函数,超快) 不错的 很好-G- P algorithm to calculate the correlation of the Matlab program (updated version, tex-mex function, super fast) good is very good
ChaosToolbox_lzb3.0
- 确定嵌入维数延迟时间 关联维数 最大拉亚普农副支书(fnn1 ccmethod lyapunov)
efbc08dd5d5e
- 1、LorenzData.mat - Lorenz 离散序列的数据文件，5000个点，内有变量：x,y,z 2、Volterra_main_luzhenbo.m - Volterra自适应预测主文件 3、Volterra_train.m - Volterra自适应预测训练部分 4、Volterra_test.m - Volterra自适应预测测试部分 5、PhaSpaRecon.m -混沌序列的相空间重构 6、TrainTestSample.m -相空间中点的轨迹分解成：训练样本与测试