网上购物系统

zip文件格式-zip file format

face recognition ieee paper

pid参数的调节方法，对pid参数的选定有很大帮助，是前人的总结不可不看。-pid adjusting the parameters of the method, the pid of the selected parameters will be of great help, is summed up by our predecessors can not see.

1.学习7段数码显示译码器设计。 2.进一步熟悉VHDL设计技术,掌握CASE语句的使用。 3.掌握文本输入法的顶层设计方法。 -1. Learning 7 decoder design digital display. 2. More familiar with the VHDL design techniques, master the use of CASE statements. 3. Have the text input method of the top-level design methods.

This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation.

串联式混合动力辅助动力单元动态控制研究。值得参考-Series Hybrid power-assisted dynamic power control unit. It is also useful

1. Download the version you want: * Version 1.3.4 (30 Aug 2007) -- this is the latest version for UNIX/Linux and Windows * Previous versions 2. Unzip the file, which will create a directory called klt and place all the files there 3. Compile and run the code * On UNIX / Linux, move to the klt directory, type make. Now try some examples, by typing example1, etc. * For Microsoft Visual C++ 6.0, open the klt.dsw file, compile, and run. Change the constant in main.cpp to run the different examples. * For Microsoft Visual Studio .Net/7/8, open the klt.sln file, compile, and run. Change the constant in main.cpp to run the different examples. 4. Notice that, for your convenience, unofficial copies of the User and Reference Manuals can be found in the doc directory. - 1. Download the version you want: * Version 1.3.4 (30 Aug 2007) -- this is the latest version for UNIX/Linux and Windows * Previous versions 2. Unzip the file, which will cr

读取文件内容并以二进制显示-read the contents of the documents and binary show

BP算法下载之一-BP algorithm download one

* 本算法用最小二乘法依据指定的M个基函数及N个已知数据进行曲线拟和 * 输入: m--已知数据点的个数M * f--M维基函数向量 * n--已知数据点的个数N-1 * x--已知数据点第一坐标的N维列向量 * y--已知数据点第二坐标的N维列向量 * a--无用 * 输出: 函数返回值为曲线拟和的均方误差 * a为用基函数进行曲线拟和的系数, * 即a[0]f[0]+a[1]f[1]+...+a[M]f[M]. -* The algorithm using the least-squares method based on the designated function of M and N-known curve data to be imported and* : m-- the known number of data points M* f-- From M* n vector function-- known data points the number N-1* x-- known data points of the first N-dimensional coordinates listed Vector* y-- known data points of the second N-dimensional coordinates shown in a vector*-- useless* Output : function return value to the curve-fitting and the mean square error* for the use of a base function and the curve fitting coefficients,* is a f [0] [0] a [1] f [a] ... a [M] f [M].