ACS754xCB-050

Matlab中没有现成的Lagrange插值函数，必须编写一个M文件实现Lagrange插值。 设n个节点数据以数组x0,y0 输入（注意Matlat的数组下标从1开始），m 个插值点以数组 x输入，输出数组y 为 m个插值。 编写一个名为lagrange.m的M文件。(Matlab is not off-the-shelf Lagrange interpolation function, we must realize the preparation of an M file Lagrange interpolation. N nodes based data to an array of x0, y0 input (Note Matlat subscript of the array starting at 1), m a x interpolation points to the array input and output array y for m months interpolation. Lagrange.m the preparation of a M-file.)

Algorithme de segmentation

problem solving c++是一本很好的c++入门教科书，入门必备。可能不是非常主流，但是很推荐。(problem solving c++ c++ is a good introductory textbook, entry required. May not be very mainstream, but it is recommended.)

说明：  基于压缩感知的的图像去噪，用于不同维数，(image denoising based on cs)

基于极坐标的牛顿拉夫逊潮流计算，MATLAB编程，只要把里面地址改成自己的地址就可以用了(Based on polar coordinates Newton Raphson power flow calculation, MATLAB programming, as long as the inside address into the address can be used)

本书介绍了matlab guide的设计方法, 讲解的非常清楚,包含了大量的实例程序,对于全面了解和掌握matlab 界面设计有很大的参考价值(book on Matlab guide the design method, on the very clear, There are a lot of examples of procedures for a comprehensive understanding and grasp of Matlab interface design is a great reference value)

圆形阵列的扫描方向图的matlab代码，可通过修改前面的参数得到不同的结果(Circular array scanning direction map matlab code, may be by modifying the parameters in front of different results)

1.这是一个matlab滤波程序，内含空域二维卷积滤波；频域高通滤波；三级butterworth高通滤波器设计。 2.效果较好，内含较为翔实的代码注释，通用性，可移植性较强。(1. This is a Matlab filtering procedures, airspace containing 2D convolution filter; Frequency- domain high pass filter; 3 butterworth high pass filter design. 2. The result is better and more informative containing the code notes, general, portability strong.)

关于海洋地震勘探随机噪声比较详细论述的文章，写的挺好的，有兴趣的同学可以下载。(Random noise on marine seismic exploration a more detailed discussion of the article, written by very good, interested students can download.)

幂法是一种计算矩阵主特征值(矩阵按模最大的特征值)及对应特征向量的迭代方法, 特别是用于大型稀疏矩阵。 (The power method is a method of calculating the matrix eigenvalue (matrix largest characteristic value) and the iterative method of the corresponding feature vector, particularly for large sparse matrix.)