matlabenginetest

对加拿大山猫捕获数量进行时间序列分析，建立自回归方程，并对未来的捕获数量进行了预测(To capture the number of Canadian lynx time-series analysis, since the regression equation, and the future was predicted to capture the number of)

雷达定位算法，通过收集三个雷达的数据确定飞行物的坐标位置(Radar positioning algorithm, by collecting three radar data to determine the coordinates of the location of flying objects)

说明：  一个MATLAB的应用程序，很方便的！使用时需要转换为M文件。(A MATLAB application, very convenient! The use of M need to convert files.)

《VisualC++-MATLAB图像处理与识别实用案例精选》书的源代码，里面各个章节的程序例子都有("VisualC- MATLAB image processing and recognition practical case Showcase" on the source code, inside the various sections of the procedures examples)

相位图像的相位解包算法对一个相位图进行解包裹(Phase image of phase unwrapping algorithm for a phase map unwrapping)

说明：  在过去的几年中, 背包问题吸引了众多理论研究人员和应用工作者的注意力, 因而得到了广泛而深入的研究。理论方面, 研究兴趣主要来自于该问题简单的结构, 而这种特点既可以深入探索许多组合特性, 又可以通过解决一系列背包子问题来最终求解更为复杂的优化问题。实践方面, 这些问题可以表述许多工业场合的应用, 最典型的应用包括货 物装载、存储分配和资本预算等等。在寻找背包问题可行解的过程中, 出现了众多的算法, 本文是利用MATLAB 程序求背包问题可行解的一种算法。(In the past few years, knapsack problem has attracted many researchers and application of theoretical attention of workers, which has been extensive and in-depth study. Theory, research interest mainly from the simple structure of the problem, and this characteristic combination of both in-depth exploration of many features, but also can solve a series of knapsack sub-problems to solve more complex final optimization problem. Practice, these problems can be expressed in many industrial applications where the most typical applications include cargo loading, storage, distribution and capital budgets, and so on. Knapsack problem in finding feasible solutions in the process, there have been many algorithms, this is the knapsack problem using MATLAB program seeking a feasible solution algorithm.)

包括IHS遥感图像融合算法，比较全。基于MATLAB。(IHS image merging)

MIMO技术，信噪比SNR和误码率BER的关系对比图像，MATLAB仿真程序代码(MIMO technology, signal-to-noise ratio SNR and bit error rate (BER) the relationship between contrast images, MATLAB simulation program code)

对EMD分解的改进，消除了EMD分解过程中的模态混叠现象，可以得到更准确的IMF分量(EMD decomposition for improvement, eliminating the EMD decomposition process modal aliasing, you can get a more accurate IMF components)

一个控制托盘图标位置的例子(-An example of controling the ico position of tray)