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说明：  该实例包含很多MATLAB经典实用源程序(The classic example of MATLAB contains many practical source)

这是一款实现是在vs2005编程过程中，如何调用matlab7的代码的软件，着实可用(This is a realization in vs2005 programming process, how to call matlab7 code of the software is, indeed, can be used)

一些自适应信号处理的算法，包括广义互相关函数GCC时延估计，基于kaiser窗的双谱线插值FFT谐波分析。( Some adaptive signal processing algorithms, Including the generalized cross-correlation function GCC time delay estimation, Dual-line interpolation FFT harmonic analysis kaiser windows.)

锅炉燃烧系统的模糊预测控制，完整的程序设计流程图(Boiler combustion system of fuzzy predictive control, complete the program flow chart)

时滞微分方程解析解的matlab实现，其中一个m文件，定义方程以及时滞个数(Analytical Solution of Delay Differential Equations Matlab realization of one of the m file, define the equation as well as time delay number)

关于模式识别中运用到的模糊分类方法及分类器设计，是很好的参考程序。(About ISODATA algorithm Matlab language)

Ribbon frome codeproject

this is digit recognition using som

说明：  在mtlab下，运用矩量法计算两平行方板电容，并分析电容随两方板边长和两方板之间距离的变化(In mtlab, compution of two parallel side plate capacitor, and capacitance of the two sides of edge length and the distance between the two sides change board)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。(Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for )