binary-amplitude-shift

Sistema de Kardex & Inventario - VF

说明：  经典Matlab编程以及教程，适合初学者学习(Matlab program)

vc与matcom混合编程实例，里面包含了matcom将matlab m文件转换成C++文件的例子，然后在vc中调用，画图，并借助matlab在vc中对音频文件进行幅度和相位分析(Vc mixed with matcom programming examples, containing the matcom transform matlab m file into the c++ file example, and then call in the vc, drawing, and with the help of matlab in the vc of amplitude and phase analysis was carried out on the audio file)

使用VC创建Matlab数组、删除数组，进行二次编程(Matlab using the VC to create an array, delete array, a second program)

This is the simulation of Photoshop magic wand effect of Matlab procedures for image segmentation

link about Matlab and Vc

lapack的c++版本之一.lapack是imsl,mkl,matlab等大部分数值计算的使用者.最早是for77的,后来出现c++,java等的.(lapack one of the c version. Lapack is imsl, mkl. Matlab, and most numerical calculation users. The first was for77, subsequently c, java and so on.)

用MATLAB实现加噪信号的消噪噪,用了三种常用方法。可直接使用。 (Using MATLAB to increase noise and signal noise cancellation noise, with three commonly used methods. Can be used directly.)

最长公共子序列的个人实验，输入两个不同的字符序列（要求必须是字母），将输出这两个字符序列的最长公共子序列。(Individual experiments longest common subsequence, enter two different sequences of characters (letters must be required), the output of the longest common subsequence of the two-character sequence.)

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.)