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Description: 用2D_FFT方法重建核磁共振的图像，输入为K空间复数数据，输出为重建后的图像数据(复数)。-2D_FFT used NMR methods of image reconstruction, the importation of K space complex data, output for the reconstruction of the image data (in the plural).
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Size: 49439 |
Author: 大晴天空 |
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Description: 空间数据库中空间数据结构的应用，K-d树基本操作的源码，都在这个文档中。-spatial database structure of the data space applications, K-d trees basic operation of the source code in the documents.
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Size: 6435 |
Author: 周琳 |
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Description: 空间数据库中空间数据结构的应用，K-d树基本操作的源码，都在这个文档中。-spatial database structure of the data space applications, K-d trees basic operation of the source code in the documents.
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Size: 6144 |
Author: 周琳 |
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Description: 用2D_FFT方法重建核磁共振的图像，输入为K空间复数数据，输出为重建后的图像数据(复数)。-2D_FFT used NMR methods of image reconstruction, the importation of K space complex data, output for the reconstruction of the image data (in the plural).
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Size: 49152 |
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Description: 申请一个10M的文件空间虚拟成一个磁盘，按照1K大小划分扇区，依序编号，实现单卷单级目录的文件系统。
根据文件分配方案设计相应的FCB结构，空闲空间管理结构，磁盘卷总信息结构，目录区信息结构等，存放在虚拟磁盘的相应区域
编写管理程序，实现对虚拟磁盘的全权控制，犹如针对真实磁盘使用模式类似DOS或者Linux的终端方式
本文简单介绍了磁盘文件格式FAT及其他相关背景和算法,并采用FAT方案实现单卷、单级目录的虚拟文件系统。描述了整个程序的基本思路模块划分、流程图及代码的实现。-application of a 10M file space into a virtual disk, according to the size of 1K division sector, in order numbers, to achieve a single volume directory single file system. According to the paper distribution program to design appropriate FCB structure, and the leisure space management structure, the total disk volumes of information structure, District information directory structure, stored in the virtual disk preparation of the corresponding regional management procedures, to achieve the virtual disk full control as with real disk usage patterns similar to the DOS or Linux terminal is a simple way of Disk File FAT format, and other relevant background and algorithms, and using FAT programs to achieve a single volume. single-level directory of virtual file system. Description of the whol
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Size: 346112 |
Author: 戴天天 |
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Description: 空间后方交汇求解相机外方位元素，变量如下
％ x，y 控制点像点坐标
％ X，Y，Z 控制点空间坐标
％f焦距
％X0，Y0，Z0，a，b，c六个外方位元素
％x0，y0，-f内方位元素：光心坐标
％cha，chb，chc：外方位角元素改正数
％count 记录迭代次数
％R 旋转矩阵
％A 线性化的偏导系数矩阵
％L 常数项矩阵
％M0 外方位元素矩阵
％M1 外方位元素改正数矩阵-meeting space for rear camera position outside elements, as follows% variable x, y control point pixel coordinates% X, Y, Z coordinates control room focal length f%% X0, Y0, Z0, a, b, c 6 exterior orientation elements% x0, y0,- f position within elements : Optical Center coordinates% cha, chb, chc : Foreign elements azimuth correction% record count the number of iterations rotation matrix R%% A linear partial derivative of the coefficient matrix% L constant Matrix% M0 Orientation% M1 matrix elements of exterior orientation correction matrix
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Size: 1024 |
Author: 王立钊 |
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Description: 假近邻法(False Nearest Neighbor, FNN)计算嵌入维的Matlab程序
文件夹说明：
Main_FNN.m - 程序主函数，直接运行此文件即可
LorenzData.dll - 产生Lorenz时间序列
PhaSpaRecon.m - 相空间重构
fnn_luzhenbo.dll - 假近邻计算主函数
SearchNN.dll - 近邻点搜索
buffer_SearchNN_1.dll - 近邻点搜索缓存1
buffer_SearchNN_2.dll - 近邻点搜索缓存2
参考文献：
M.B.Kennel, R.Brown, H.D.I.Abarbanel. Determining embedding dimension for phase-space reconstruction using a geometrical construction[J]. Phys. Rev. A 1992,45:3403.
-false neighbors (False Nearest Neighbor, FNN) calculation embedding dimension of the Matlab program folder : Main_FNN.m-procedure main function, Direct operating this document can be LorenzData.dll-time series produced Lorenz PhaS paRecon.m-phase space reconstruction fnn_luzhenbo.dll-calculated at the main function neighbors SearchNN.dll-point search buffer_SearchNN_1.dll neighbor- Search neighbor point a buffer_SearchNN_2.dll Cache-Cache Search neighbors point two reference Literature : M. B. Kennel, R. Brown, H. D. I. Abarbanel. Determining embedding dime nsion for phase-space reconstruction using a g eometrical construction [J]. Phys. Rev. A 1992 , 45:3403.
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Size: 99328 |
Author: 呆雁 |
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Description: 一个CURE聚类算法 应用了K中心点算法 采用空间坐标聚集 -a clustering algorithm is applied to the K-center space coordinates is used to gather
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Size: 1932288 |
Author: karoe |
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Description: 人脸识别的matlab代码，本征脸（ eigenface ）方法是子空间人脸识别方法的典型代表。该方法基于一种部分的K-L 变换，或者称为主成分分析（ PCA ）-Matlab code for face recognition, eigenface (eigenface) sub-space method is a typical representative of face recognition methods. The method is based on a part of the KL transform, or known as principal component analysis (PCA)
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Size: 1024 |
Author: 李英豪 |
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Description: 经典Mean shift图像分割算法VC源代码
Mean shift: A robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Machine Intell, 24, 603-619, 2002.-Classic Mean shift image segmentation algorithm VC source code Mean shift: A robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Machine Intell, 24, 603-619, 2002.
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Size: 349184 |
Author: steed |
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Description: 核子空间样本选择方法的核最近邻凸包分类器，不需要账号就可以下载-Nuclear space sample selection methods nuclear convex hull nearest neighbor classifier, no account can download
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Size: 275456 |
Author: majian |
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Description: 空间数据分析中最常用的是聚类分析,而K-MEANS算法是聚类分析中常用的,其主要思想是在给定的聚类数目下对多维(我做的是三维空间点)向量进行聚类,-Spatial data analysis is the most commonly used cluster analysis, while the K-MEANS algorithm is commonly used in cluster analysis, the main idea is to set the number of under the multi-dimensional clustering (I make the three-dimensional space-point) vector cluster,
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Size: 6144 |
Author: tangkezong |
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Description: 在SENSE成像中如何将中间图像转化为最终图像，就要用到这个程序-Using specfied sampling vector to generate a 2D aliasing matrix. The sampling vector is a vector of n-entries of either 0 or 1, where 0 indicates no k-space line acquisition and 1 indicates k-space line is acquired in the accelerated scan. For example, a sampling vector of [0 1 0 1 0 1 0 1 0 1] indicate the 2-fold acceleration with 8 phase encoding lines. The aliasing matrix is calculated based on Fourier imaging
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Size: 4096 |
Author: 李荣智 |
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Description: gabor提取纹理特征，k-means方法无监督聚类进行图像分割-extract texture feature, cluster by k-means
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Size: 64512 |
Author: zhengjuan |
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Description: this file describes that how to construct the k-space.
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Size: 1024 |
Author: 李英愛 |
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Description: K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果。-K-means algorithm is based on the division of the classic clustering method, is ten classic one of data mining algorithm. K-means the basic idea of the algorithm is: to the space K point as the center of the cluster analysis, near their object classification. Through the iterative method, each successive update clustering center value, until get the best clustering results.
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Size: 1024 |
Author: 彭立军 |
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Description: 部分K空间数据的实部重建，简明扼要，安科公司技术人员较早时间写的，适合初学者-Real Part Reconstruction of Partial K-Space Data
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Size: 73728 |
Author: 郭文 |
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Description: 采用k空间方法仿真超声声场及光声、剪切波传播等的专用matlab工具箱程序包，能模拟非均匀介质情况下的波动传播情况，功能强大，-k-wave toolbox for ultrasound simulation . -K-space method using ultrasonic sound field simulation and photoacoustic, shear wave propagation matlab toolbox, such as special packages that can simulate wave propagation in inhomogeneous media situation in case, powerful,-k-wave toolbox for ultrasound simulation.
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Size: 2720768 |
Author: zcc |
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Description: K-means聚类算法的matlab实现(k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.)
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Size: 1024 |
Author: invoker`Z |
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Description: k均值聚类提取，适合学习。先将RGB图像转换到LAB空间，在LAB空间进行聚类分割。(K-means clustering is suitable for learning. First convert the RGB image to LAB space and perform clustering and segmentation in the LAB space.)
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Size: 2323456 |
Author: 江城歌 |
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