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[Other resource] CorrelationDimension_luzhenbo DL : 0: 计算关联维的 Matlab 程序 - (mex 函数，超快) ----------------------------------- 文件夹说明： 1、CorrelationDimension_main.m - 程序主文件 2、LorenzData.dll - 产生Lorenz离散数据 3、normalize_1.m - 数据归一化 4、PhaSpaRecon.m - 相空间重构 5、CorrelationDimension.dll - 计算关联积分函数 6、CorrDim_buffer.dll - 缓存文件-calculated the correlation dimension Matlab procedures - (mex function, ultrafast) ----------------------------------- folder Note : 1, CorrelationDimension_main.m-procedure two main documents, LorenzData.dll - Lorenz have three discrete data, normalize_1.m-normalized data of four, PhaSpaRecon.m-5 reconstruction phase space, CorrelationDimension.dll-associated integral calculation Function 6, CorrDim_buffer.dll-cache file
Update : 2008-10-13 Size : 52.88kb Publisher : 李晓燕
[Mathimatics-Numerical algorithms] CorrelationDimension DL : 0: 计算关联维的 Matlab 程序 - (mex 函数，超快)，源自研学论坛-calculated the correlation dimension Matlab procedures - (mex function, ultra-fast), from the Institute Science Forum
Update : 2008-10-13 Size : 53.01kb Publisher : alan
[Other resource] GP_Algorithm_luzhenbo DL : 0: G-P算法计算关联维的 Matlab 程序 (升级版，mex函数，超快) 作者：陆振波，海军工程大学欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页电子邮件：luzhenbo@sina.com 个人主页：luzhenbo.88uu.com.cn 更新部分：引入限制短暂分离参数，使该参数大于序列平均周期时，去除了同一轨道前后点的关联，使 r 值较小时，ln r - ln C(r) 曲线接近线性文件夹说明： 1、GP_Algorithm_main.m - 程序主文件 2、LorenzData.dll - 产生Lorenz离散数据 3、normalize_1.m - 数据归一化 4、CorrelationIntegral.dll - 计算关联积分-G-P algorithm in Matlab correlation dimension (upgrade version mex function, ultrafast) Author : bo, the Navy Engineering from the University of peer welcome exchanges and cooperation, more and download articles please visit my personal web page e-mail : luzhenbo@sina.com 000 people Home : luzhenbo.88uu.com.cn update : the introduction of restrictions on temporary separation parameters so that the sequence of parameters than the average cycle, in addition to the same orbit around the point and makes a relatively small r, r ln - ln C (r) curve is nearly linear document folders : 1, GP_Algorithm_main.m-procedure two main documents, LorenzData.dll - Lorenz have three discrete data, normalize_1.m-normalized data of four, CorrelationIntegral.dll-associated integral calculation
Update : 2008-10-13 Size : 6.22kb Publisher : 陆振波
[Windows Develop] int2bin8 DL : 0: The help section includes instructions for building a MEX function using the EMLMEX command, and for generating C-code using the EMLC command.
Update : 2008-10-13 Size : 860byte Publisher : dairy
[Other resource] svm_new DL : 0: MATLAB的SVM算法实现，Matlab Support Vector Machine Toolbox，This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.
Update : 2008-10-13 Size : 124.8kb Publisher : chenbin
[ToolBar] svm465 DL : 0: This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.-This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.
Update : 2008-10-13 Size : 149.99kb Publisher : 孙荣超
[ToolBar] svm465 DL : 0: This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.-This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.
Update : 2025-02-19 Size : 150kb Publisher : 孙荣超
[matlab] CorrelationDimension_luzhenbo DL : 0: 计算关联维的 Matlab 程序 - (mex 函数，超快) ----------------------------------- 文件夹说明： 1、CorrelationDimension_main.m - 程序主文件 2、LorenzData.dll - 产生Lorenz离散数据 3、normalize_1.m - 数据归一化 4、PhaSpaRecon.m - 相空间重构 5、CorrelationDimension.dll - 计算关联积分函数 6、CorrDim_buffer.dll - 缓存文件-calculated the correlation dimension Matlab procedures- (mex function, ultrafast)----------------------------------- folder Note : 1, CorrelationDimension_main.m-procedure two main documents, LorenzData.dll- Lorenz have three discrete data, normalize_1.m-normalized data of four, PhaSpaRecon.m-5 reconstruction phase space, CorrelationDimension.dll-associated integral calculation Function 6, CorrDim_buffer.dll-cache file
Update : 2025-02-19 Size : 53kb Publisher : 李晓燕
[Mathimatics-Numerical algorithms] CorrelationDimension DL : 0: 计算关联维的 Matlab 程序 - (mex 函数，超快)，源自研学论坛-calculated the correlation dimension Matlab procedures- (mex function, ultra-fast), from the Institute Science Forum
Update : 2025-02-19 Size : 53kb Publisher : alan
[matlab] GP_Algorithm_luzhenbo DL : 0: G-P算法计算关联维的 Matlab 程序 (升级版，mex函数，超快) 作者：陆振波，海军工程大学欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页电子邮件：luzhenbo@sina.com 个人主页：luzhenbo.88uu.com.cn 更新部分：引入限制短暂分离参数，使该参数大于序列平均周期时，去除了同一轨道前后点的关联，使 r 值较小时，ln r - ln C(r) 曲线接近线性文件夹说明： 1、GP_Algorithm_main.m - 程序主文件 2、LorenzData.dll - 产生Lorenz离散数据 3、normalize_1.m - 数据归一化 4、CorrelationIntegral.dll - 计算关联积分-G-P algorithm in Matlab correlation dimension (upgrade version mex function, ultrafast) Author : bo, the Navy Engineering from the University of peer welcome exchanges and cooperation, more and download articles please visit my personal web page e-mail : luzhenbo@sina.com 000 people Home : luzhenbo.88uu.com.cn update : the introduction of restrictions on temporary separation parameters so that the sequence of parameters than the average cycle, in addition to the same orbit around the point and makes a relatively small r, r ln- ln C (r) curve is nearly linear document folders : 1, GP_Algorithm_main.m-procedure two main documents, LorenzData.dll- Lorenz have three discrete data, normalize_1.m-normalized data of four, CorrelationIntegral.dll-associated integral calculation
Update : 2025-02-19 Size : 6kb Publisher : 陆振波
[Communication-Mobile] MEXexample DL : 0: MATLAB中MEX命令的两个程序例子, 有详细解释, 如何在MATLAB里面调用C/C++函数-MATLAB MEX orders of the two procedures example, a detailed explanation How MATLAB inside called C/C function
Update : 2025-02-19 Size : 4kb Publisher : 钟伟
[Fractal program] GP_Algorithm2.0 DL : 0: G-P算法计算关联维的 Matlab 程序 (升级版，mex函数，超快) ----------------------------------- 更新部分：引入限制短暂分离参数，使该参数大于序列平均周期时，去除了同一轨道前后点的关联，使 r 值较小时，ln r - ln C(r) 曲线接近线性-G-P method to calculate the correlation dimension of the Matlab program (upgrade version Files function, Ultrafast)----------------------------------- Update parts : the introduction of restrictions on temporary separation parameters so that the parameter is greater than the average cycle sequence, In addition to the same orbit around the point and makes a relatively small r, r ln- ln C (r) almost linear curve
Update : 2025-02-19 Size : 6kb Publisher : billjie
[Special Effects] susan-matlab DL : 0: 为了便于在matlab中调用susan算法的c实现函数，对Stephen Smith写的susan2.1 c源码进行简单编辑剪裁，并提供常用susan函数的matlab mex接口函数，使用者在matlab中简单编译后就能使用了。-Matlab in order to facilitate call susan algorithm realize the c function, written by Stephen Smith on susan2.1 c source code for simple cut editing, and provide common susan function matlab mex interface function, the user in a simple matlab compiler will be able to post use.
Update : 2025-02-19 Size : 35kb Publisher : syx
[Windows Develop] int2bin8 DL : 0: The help section includes instructions for building a MEX function using the EMLMEX command, and for generating C-code using the EMLC command.
Update : 2025-02-19 Size : 1kb Publisher : dairy
[Graph Recognize] OpenCV_face_detector DL : 0: This zip file contains source code and windows executables for carrying out face detection on a gray scale image. The code implements Viola-Jones adaboosted algorithm for face detection by providing a mex implementation of OpenCV s face detector. Instructions for use and for compiling can be found in the Readme file. Usage: FaceDetect (<Haar Cascase XML file>, <Gray scale Image>) The function returns Nx4 matrix. In case no faces were detected, N=1 and all four entries are -1. Otherwise, N=number of faces in the image and the vector contains the x, y, width and height information of the face. Example, A = imread ( lena.jpg , JPG ) Img = double (rgb2gray(A)) Face = FaceDetect( haarcascade_frontalface_alt2.xml ,Img) -This zip file contains source code and windows executables for carrying out face detection on a gray scale image. The code implements Viola-Jones adaboosted algorithm for face detection by providing a mex implementation of OpenCV s face detector. Instructions for use and for compiling can be found in the Readme file. Usage: FaceDetect (<Haar Cascase XML file>, <Gray scale Image>) The function returns Nx4 matrix. In case no faces were detected, N=1 and all four entries are-1. Otherwise, N=number of faces in the image and the vector contains the x, y, width and height information of the face. Example, A = imread ( lena.jpg , JPG ) Img = double (rgb2gray(A)) Face = FaceDetect( haarcascade_frontalface_alt2.xml ,Img)
Update : 2025-02-19 Size : 1.24mb Publisher : ruan
[matlab] svm_new DL : 0: MATLAB的SVM算法实现，Matlab Support Vector Machine Toolbox，This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.-MATLAB-SVM algorithm, Matlab Support Vector Machine Toolbox, This toolbox was designed as a teaching aid, which matlab isparticularly good for since source code is relatively legible andsimple to modify. However, it is still reasonably fast if usedwith the supplied optimiser. However , if you really want to speedthings up you should consider compiling the matrix compositionroutine for H into a mex function. Then again if you really wantto speed things up you probably shouldn t be using matlabanyway ... Get hold of a dedicated C program once you understandthe algorithm.
Update : 2025-02-19 Size : 125kb Publisher : chenbin
[matlab] Matlab_Support_Vector_Machine_Toolbox DL : 0: This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.
Update : 2025-02-19 Size : 124kb Publisher : 张亚飞
[Special Effects] cvlib_mex DL : 0: opencv函数包，用于matlab调用-opencv function package, calls for matlab
Update : 2025-02-19 Size : 956kb Publisher : ronghjr
[Other] mex DL : 0: function matrix=asciiRead(fileName) asciiRead: Read an ascii file into a matrix Usage: matrix=asciiRead(fileName) Roger Jang, 20041021 if nargin<1, selfdemo return end fid=fopen(fileName, rb ) content=fread(fid, inf, char ) fclose(fid) file=tempname copyfile(fileName, file-function matrix=asciiRead(fileName) asciiRead: Read an ascii file into a matrix Usage: matrix=asciiRead(fileName) Roger Jang, 20041021 if nargin<1, selfdemo return end fid=fopen(fileName, rb ) content=fread(fid, inf, char ) fclose(fid) file=tempname copyfile(fileName, file
Update : 2025-02-19 Size : 2kb Publisher : jafar
[matlab] Resize_array DL : 0: 在matlab中的mex函数实现对大矩阵的子矩阵进行提取。-The mex function in matlab to achieve sub-matrix of large matrix extraction.
Update : 2025-02-19 Size : 1kb Publisher : 梁力尹

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