Chapter1

Due to an increase in demand for and questions about direct disk access for Micrososft platforms, and due to the fact that Microsoft has no API for direct disk access, I am releasing this library much earlier than I intended at that start. I am still working on this code. (Due to an increase in demand for and questio ns about direct disk access for Micrososft plat forms, and due to the fact that Microsoft has no API for d Direct disk access, I am releasing this library much earlier than I i ntended at that start. I am still working on this code.)

matlab basic on fir,matlab basic on fir

主要是用c语言实现matlab中的fftshift函数的，(Mainly used c language matlab in fftshift function,)

用实例演示如何在matlab中调用c++，适用于初学者，很好的例子(With examples demonstrate how to call c++ in matlab for beginners, a good example)

SCARA four DOF planar articulated robot reference

1,、设置变量和参量： 　　X(n)为输入向量，或称为训练样本 　　W(n)为权值向量 　　e(n)为偏差 　　d(n)为期望输出 　　y(n)为实际输出 　　η为学习速率 　　n为迭代次数 　　2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 　　3、对于一组输入样本x(n)和对应的期望输出d，计算 　　e(n)=d(n)-X^T(n)W(n) 　　W(n+1)=W(n)+ηX(n)e(n) 　　4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行(, set the variables and parameters: X (n) is the input vector, otherwise known as the training sample W (n) for the weight vector e (n) for the deviation d (n) is the desired output y (n) is the actual output η is the learning rate n is the number of iterations)

说明：  蒙特卡罗方法可以有效地解决复杂的工程问题，而MATLAB具有强大的数值计算功能。将二者结合使用，可以得到高效的解决问题的方法。本文阐述了该方法并通过实例验证了该方法的正确性和优越性。 (Monte Carlo method can effectively solve complex engineering problems, and MATLAB has powerful function of numerical calculation. The two in combination, can be cost-effective solution to the problem. This paper describes the methods and examples of the method to verify the correctness and superiority.)

在WINDOWS环境下，使用MATLAB写的PCA代码，移植性好，对于做PCA的能方便使用！(In the WINDOWS environment, the use of PCA written in MATLAB code, portability, and for doing the PCA can easily use!)

Matlab与C接口技术（两本pdf书籍，感觉很不错的），希望对大家有帮助(Matlab and C interface technology (two pdf books, I feel very good), we want to help)

Numerical analysis did not pretreated Gauss method, the SSOR pre-Gaussian method, the pre-Gaussian polynomial method matlab program: CG