搜索资源列表
shujucaiji
- 几个labview数据采集案例的源代码,数字万用表 usb控制小车 图像采集处理 点阵显示控制-Several cases of data acquisition labview source code, digital multimeter usb control car dot matrix display control image acquisition and processing
circulant
- This MATLAB code generates a square circulant matrix using the vector V as the first row of the result if V is a row vector or as the first column of the result if V is a column vector. V may be any numeric data type or a character string. -This MA
Uppertriangularmatrix
- 上三角矩阵压缩存储类,用c++描写的,数据结构中的-Upper triangular matrix stored compression type, using c++ descr iption, data structure
LED_programing
- 具有强大图文数据编辑并通过串口向外发送点阵数据的WINDOWS版静态LED屏图文编发软件.-Graphic data with powerful edit and send out through the serial dot matrix data WINDOWS version of a static LED screen graphic distributed software.
migong
- 迷宫问题,首先自定义建立迷宫的数据结构,迷宫数据放入矩阵中.在路线查找时,初始化栈,应用循环对每一点座标进行4个方向的判断,如果该点可达则把该点信息放入栈内,或者回溯到出栈后的坐标点,最后如果最后能够到达出口,那么栈内存储的即为走出迷宫路径-Maze problem, first of all, since the definition of the establishment of a maze of data structure, a maze of data Add matrix. Loo
C-language-matrix-example
- 用C语言开发的矩阵范例,更实用,为C程序处理大量数据提供保证-Sample matrix C language development, more practical, handling large amounts of data to C program provides assurance
Untitled11
- 。输入地震数据(剥去文件头、剥去道头, 按道序排列的数据矩阵, 每 一列为一道的数据)。此函数返回在Radon 域中的数据。-. Input seismic data (stripped header, stripped road head, arranged in order by channel data matrix, each as a data). This function returns the data in the Radon domain.
TEST-OF-GDAL
- 用gsl库,用全极化数据T3矩阵模拟简缩极化C矩阵,并进行极化度-相对相位分解-With gsl library, with full polarimetric data matrix analog abbreviated T3 polarization matrix C, and the degree of polarization- the relative phase of decomposition
bayes_multiclass
- z=bayes_classifier(m,S,P,X). This function outputs the Bayesian classification rule for M classes, each modeled by a Gaussian distribution. where, M: the number of classes. • l: the number of features (for each feature vector). •
eucledian_classifier
- z=euclidean_classifier(m,X). This function outputs the Euclidean classifier, given the mean matrix. M: the number of classes. • l: the number of features (for each feature vector). • N: the number of data vectors. • m: lxM ma
mahalnobis
- z=mahalanobis_classifier(m,S,X).This function outputs the Mahalanobis classifier, given the mean and covariance matrices. • M: the number of classes. • l: the number of features (for each feature vector). • N: the number of
zxing_dsp
- 成功将zxing二维码扫描库移植到dsp上,运行环境为CCS6(A library which supports decoding and generating of barcodes (like QR Code, PDF 417, EAN, UPC, Aztec, Data Matrix, Codabar) within images.)
PCA
- 函数是封装好的主成分分析法的程序,输入原始数据矩阵即可(Function is a good package of principal component analysis of the procedure. The original input data matrix can be input)
Data.PS科学计算与绘图软件
- Data.PS功能简介:本数据处理软件内置表格编辑器,可以方便的进行数据输入输出;可以进行常见的(a)数值计算,如求解线性方程组、非线性方程组、常微分方程组、多项式求根、傅里叶变换、傅里叶逆变换、线性规划求解、多元线性回归和多元非线性回归参数拟合(20参数)、插值、微分、积分、求逆矩阵、矩阵特征值和特征向量、行列式值;(b)统计分析,统计描述、频数分布、假设检验、正态分布检验、二项式分布检验、泊松分布检验、相关性分析、方差分析;(c)6Sigman工具,过程能力CPK计算、测量系统分析MSA、公
24色卡参数
- 24色卡数据矩阵的生成,方便别人直接在矩阵中提取红绿蓝三色的数据进行数据拟合(The 24 generation card data matrix, easy directly in the matrix extracted from RGB color data fitting)
Indoor_16X64LEDdriver
- 通过485接收指令把数据显示在室内的16*64模组上。(The data is displayed on the indoor 16*64 module through 485 receive instructions.)
LRR
- LRR(低秩表示)假设一个数据矩阵严格的分布在一些独立的子空间。(LRR (Low Rank Representation) assumes that a data matrix is strictly distributed in some independent subspaces.)
subareaFlevoland
- 极化SAR图像分类数据,Flevoland部分地区T3矩阵数据(Dataset for PolSAR image classification, T3 matrix of Flevoland subarea.)
CAD_Development
- 用C#开发使用开源二维码源,再加上自己对AUTOCAD的二次开发,生成各类二维码的DWG文件.包括datamatrix 和 qr code棋盘格标定板(Using C# to develop and use the open source two-dimensional code source, together with the secondary development of AUTOCAD, we can generate all kinds of two-dimensional code
模糊聚类分析法(python)
- 运用python进行模糊聚类分析步骤如下:建立数据矩阵;数据标准化;建立模糊相似矩阵;改造相似关系为等价关系;确定分类数(The steps of Python fuzzy clustering analysis are as follows: establishing data matrix; standardizing data; establishing fuzzy similarity matrix; transforming similarity relation into equiv