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led-8zi
- /***************************************************** 16*128 LED点阵屏 C 程序 ****************************************************** 声明: 本程序供大家学习之用,用勿用于商业用途。尊重版权。 编写:邓椿薪 时间:2006年1月20日 晚 邮箱:love2151@xinhuanet.com *************
TheexampleofMatrixcalculate
- 各种矩阵算法的综合,应该会对大家有帮助,因为IDL本身的有点就是处理大型矩阵类的数据-A variety of matrix algorithms General, it should be will have to help everybody, because IDL itself is a little deal with large matrices of data
dianzhenxianshipingzhizuo
- 本设计使用ARM2138开发板作为主控制模块,利用简单的外围电路来驱动16*64的点阵LED显示屏。利用ARM本身强大的功能和大容量的内部存储,可以很方便的实现ARM与PC机和SD卡等外围存储设备的数据传输,并能利用软件方便的进行显示内容的多样变化,另一方面点阵显示屏广泛的应用于医院、机场、银行等公共场所,所以本设计具有很强的现实应用性。-Designed to use the ARM2138 development board as the main control module, using
UCA_SMI
- QR分解SMI算法的目的正是要避免直接来解线性方程,而是将自相关矩阵分解,并利用Givens旋转实现数据矩阵的QR分解,最终将权矢量的求解问题转化为三角线性方程组的求解问题。-QR decomposition SMI algorithm, whose objective it is to avoid directly to solution of linear equations, but will auto-correlation matrix decomposition, and the u
imagerestoration
- 图像恢复 1.编程读出给定的多幅bmp文件的图像矩阵数据 2.编程利用噪声对图像矩阵进行数据劣化 3.编程利用图像恢复算法进行复原,并观察复原效果 4.调整噪声的种类和强度进行重复实验 -1. Programmed to read out a given number of bmp image matrix data file 2. Programming to use noise to the image data matrix degradation 3. Program
LCD4_V1_04
- THIS DOCUMENT IS PROVIDED TO THE USER AS IS . Etc.etc. Data from HITACHI LIQUID CRYSTAL CHARACTER DISPLAY MODULE and OPTREX DOT MATRIX LCD MODULE databooks-THIS DOCUMENT IS PROVIDED TO THE USER AS IS . Etc.etc. Data from HITACHI LIQUID CRYSTAL
bmp-font-bit
- 这是用C++ Builder写的两个位图转换成C51格式的提取程序源代码.仅供参考学习,请勿用于商业目的。谢谢 (1)EX1生成4096色16bit(双8bit)RGB数据 (2)EX2用于字库提取,采用横向扫描,可以在画图程序里输入汉字保存图片后转换, 但我推荐使用C51bbs上龙版的字模3输入汉字,然后保存图片或copy到画图程序,可以 很方便的制作各种菜单图片 如有什么问题可以Email跟我联系 95908@163.com 16:54 2004
pca
- Performing principal components analysis on the N1-by-N2 real-valued data matrix X, where N1 and N2 are the number of features (N1 variables) and observations (N2 samples), respectively.
StudyonStereoVision-basedCross-countryObstacleDete
- 本文提出了一种新的跨国家的障碍 检测技术为基础的立体视觉系统。 原始图像的预处理的高斯 过滤器和对比度限制的自适应直方图 均衡( CLAHE )方法来削弱作用 噪音,光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a n
transfer
- 数据结构中的矩阵转换,适用于初学者的上机操作-Transfer the matrix data structure, for beginners to operate the machine
symst
- 创建了为主成分分析所需的数据矩阵,并通过主成分分析完成对所得数据的处理。-Analysis of the main ingredients to create the required data matrix, and principal component analysis of the data to complete the deal.
matrix
- pretty useful matrix data structure cla-pretty useful matrix data structure class
minRSS
- 这个小程序可以简单的选取回归分析中box-cox变换的lambda值,通过matlab强大的矩阵运算功能可以通过简单比较RSS值的方式来得到lambda,使用时只需要输入实验值矩阵X和Y即可,然后输入minRSS(X,Y)就能简单明了的看到最优变换参数 (这个程序虽然小但是学习回归分析的初学者学习时都会经过这个算法,上载时因为不到1KB所以我又放了个文本格式的)-This little program can select a simple regression analysis of
Keyboard_Scan
- This Application Note describes programming techniques implemented on the AT91 ARM-based microcontroller for scanning a 4x4 Keyboard matrix usually found in both consumer and industrial applications for numeric data entry.
matrix
- 有关数据结构稀疏矩阵的一个编程,写得不好请见谅-Sparse matrix of the data structure of a program, not well written, please forgive me
Matrix
- 用Visual C++开发的矩阵计算程序,是大学数据结构课程矩阵算法的实现,效率很高-Using Visual C++ development matrix calculation procedures, the University Curriculum Matrix data structure algorithm, efficient
ClusterData
- Performs hierarchical clustering of data using specified method and seraches for optimal cutoff empoying VIF criterion suggested in "Okada Y. et al - Detection of Cluster Boundary in Microarray Data by Reference to MIPS Functional Catalogue Databa
Data
- 1998年数学建模B组题的求解与分析的数据,即各乡镇间的带权邻接矩阵-Mathematical Modeling 1998 Group B to solve the problem of data and analysis, that is, between the township weighted adjacency matrix
matrix
- 基本矩阵运算,供数据结构课程学习。或相关学科-Basic matrix operations for data structure course. Or related disciplines
R36clusterings
- function in R software to calculate 36 clusterings of a data matrix (clusterings are in columns), using hierarchical average, cosine, centroid and single linkages, pam and neural gas and applying the Euclidean distance to the data. Clusterings can