Tcfaarziph

本代码提供SVD算法Matlab实现，实现SVD分解，并返回分解值。(This code provides SVD algorithm Matlab, the realization of SVD decomposition, and a return value decomposition.)

实现视频 分帧功能 按照灰度值存储 直接matlab读取(matlab vc )

详细的介绍了matlab和VC++混合编程时的方法过程，对于想实现混编的同志很有帮助，希望能帮得到大家。(A detailed description of the matlab mixed programming software and other methods when programming process, for those who want to achieve mixed comrades helpful, hoping to help get everyone.)

说明：  把2D图形变为3D图像的软件。先用该软件将2D图像转为数据，再用我上传的将2D转为3D的MATLAB软件绘图即可。(2D into 3D software)

说明：  写一个程序，用户依照流行歌曲的人气调查表，将相关数据输入到计算机文件中，计算机按照人气指数将排名前十位的歌曲信息显示并存储到文件中。(Write a program, the user in accordance with the popularity of pop music questionnaire, data will be entered into the computer files, the computer will be ranked according to popularity index of the top ten song information display and store the file.)

实现彩色图象的读取,以及回度图象的读取,及相关的变换(Achieve color image reading, and reading back of the picture, and the associated transformation)

semivariogram structure function ,it is about 2D semivariogram.

说明：  给定n种物品和一个背包,物品i的重量是Wi,价值是vi,被包容量是C,应该如何选择装入被包的物品,使得装入背包中物品的总价值最大?对于每种物品i,只有两种选择,装入或者不装入. 输入:第一行两个正整数n(物品数)和C(容量) 第二行n个正整数n,表示物品价值 第三行n个正整数n,表示物品重量 输出:第一行表示总价值 第二行n个数(0/1),0表示物品不装入,1表示装入 例如, 输入: 5 10 6 3 5 4 6 2 2 6 5 4 输出 15 1 1 0 0 1 (Species of a given n items and a backpack, the weight of item i is Wi, the value of vi, was packet capacity is C, should be how to choose a package of items to be loaded, the backpack load in the largest total value of goods? For each item i, there are only two options, loaded or not loaded. Input: the first line of the two positive integer n (the number of items) and C (capacity) of the second line of n positive integer n, that the value of the third line of n positive integer n, that the weight of output: the total value of the first line of the second line, said n number of (0/1), 0 that the items do not load, that load 1 for example, enter: 5,106,354,622 6 5 4 output 15 1 1 0 0 1)

无线通信调制C++源代码,包含MPSK调制算法(Wireless communication modulation C++ source code, including MPSK modulation algorithm)

工程师和科学家们面临着用更少的时间建立复杂系统模型的需求，他们使用分布式和并 行计算来解决高性能计算的问题。这些分布式的环境由多处理器和多核计算机来实现。 Mathworks公司开发的分布式计算工具箱可以在多处理器计算环境中使用 MATLAB 和imulink 解决计算、数据密集型问题。可以使用该工具箱解决通过装配多个处理器包含几个单独工作单位或单个大型计算的问题。这些处理器可以驻留在一个多处理器计算机，或者，当工具箱配合 MATLAB 分布式计算引擎时，驻留在计算机集群上。(Engineers and scientists are facing with less time to build models of complex systems needs, they use distributed and parallel computing to solve the problem of high-performance computing. The distributed environment consists of multi-processor and multi-core computer to achieve. Mathworks Distributed Computing Toolbox, developed in multi-processor computing environment MATLAB and imulink solve computing, data intensive problems. You can use the toolkit to solve multiple processors by assembling several separate work units or containing a single large-scale computing problems. These processors can reside on a multi-processor computer, or, when the toolbox with MATLAB Distributed Computing Engine, it resides on a computer cluster.)