EvaluationDescriptor

针对目前流行的一种文件格式segy 处理的软件包，( Since the original SEG Y Data Exchange Format [revision 0, reference page 45] was published in 1975 it has achieved widespread usage within the geophysical industry. This widespread usage has brought about many proprietary variations. Since the publication of SEG Y rev 0, the nature of seismic data acquisition, processing and seismic hardware has changed significantly. The introduction of 3-D acquisition techniques and high speed, high capacity recording media dictate the need for revisions to the SEG Y rev 0 format. The major changes introduced by SEG Y rev 1 are: standardizing the location of header information needed for current processing practices and defining a SEG Y data set as a byte stream format. The SEG Technical Standards Committee strongly encourages producers and users of SEG Y data sets to move to the revised standard in an expeditious fashion. )

pid simulator for bldc

类聚的概念 对一些有需要的 人还是比较有帮助的 (buzhidao )

在ar人脸库上实现Direct Fisher discriminant analysis,该方法首先对类内散布矩阵对角化，然后对类间散布矩阵对角化，使类间散布矩阵对角化的矩阵即使鉴别向量集(In the ar face database to achieve Direct Fisher discriminant analysis, this method first within-class scatter matrix diagonalization, and then between-class scatter matrix diagonalization, so that between-class scatter matrix diagonalization of the matrix even if the identification of a vector set)

数值分析算法-----复化三点Gauss-lengend公式求pi (Numerical analysis algorithms----- complex formula of three-point Gauss-lengend find pi)

analisis WVD wigner ville distribution

0-1整数规划有很广泛的应用背景，比如指派问题，背包问题等等，实际上TSP问题也是一个0-1问题，当然这些问题都是NP问题，对于规模较大的问题用穷举法是没有办法在可接受的时间内求得最优解的，本程序只不过是一个练习，得意之处是用递归法把所有解都排列出来。另：胡运权所著的《运筹学基础及应用（第三版）》第97页的例3，我用本程序求解得到的结果是：最优解是x*=(1,0, 0, 0, 0)，最优值是f(x*)=8，但书求得最优解是x*=(1,0, 1, 0, 0)，最优值是f(x*)=4，是不是书中写错了，请大家验证。以下是源程序，大家可以任意使用无版权问题，另外，如果大家有大规模的0-1规划的问题也希望提供给我，谢谢。变量个数至少是3个(0-1 Integer Programming is a very broad background, such as assignment, bags and so on. actually TSP is a 0-1, of course, these problems are NP, for larger problem with the law is not exhaustive approach in an acceptable time frame to obtain the optimal solution. this procedure is only one practice, farewell tour is the method used recursive all of the solutions to show. Another : Hu Yun-author of "operational research, and application base (third edition)" Article 97 of the three cases, I use this procedure to solve the result is : is the optimal solution x = (1,0, 0, 0, 0), the optimal values of f (x*) = 8, but the book is to find the optimum solution x = (1,0, 1, 0, 0), the optimal values of f (x*) = 4, the book is not a mistake, please certification. Following is the source)

PID控制算法简单、鲁棒性强，但其参数整定过程繁琐，整定时需要控制对象的精确数学模型，而且整定往往是针对某一种具体工况进行的，缺乏自学习和自适应能力。模糊神经网络则兼备了模糊逻辑和神经网络的优点，具有函数逼近功能，具有较强的自适应、自学习能力、容错能力和泛化能力。借助于遗传算法对全局性参数进行优化设计，借助于BP算法对局部性参数进行优化，将模糊神经网络和遗传算法引入PID控制参数的整定过程，构造出一种基于模糊神经网络和遗传算法的智能PID控制器(Intelligent controller based on fuzzy neural network and genetic algorithm)

Matlab关于傅里叶变换的pdf资料 有用(Matlab program on the Fourier transform)

关于用MATLAB来进行数字图像处理所需的各个函数，方法讲解。(On the use of MATLAB to carry out all necessary image processing functions, methods, explained.)