User-Library-SWT-39

1.n个节点分段Lagrange插值多项式； 2.使用格式y=lagrange(x0,y0,x,k)； 3.输入项x0为n维插值节点向量，y0为n维被插函数值向量； 4.x为m维插值点向量，k为分段插值多项式次数，不超过3，缺省为k=1； 5.输出y为插值点x处的函数值；( 1.n a sub-node Lagrange interpolation polynomial 2. The use of the format y = lagrange (x0, y0, x, k) 3. Input x0 of interpolation nodes for the n-dimensional vector, y0 for n-dimensional vector function to be inserted 4.x interpolation points for the m-dimensional vector, k is the number of sub-polynomial interpolation, not more than 3, the default for k = 1 5. output y for the interpolation points x Department of function )

matlab code for colour ball identificaition

matlab7.1完全教程，可以很系统的了解和学习matlab用法(completely matlab7.1 tutorial, system understanding and learning matlab usage)

Compressive Sensing： 从时域稀疏性和频域稀疏性两个不同角度实现基于MATLAB的压缩感知原理性能.对于Compressive Sensing 初学者有着极大的帮助。(Compressive Sensing： Based on MATLAB, codes realize CS theory from Time-Sparsing and Frequency-Sparsing field.It s really helpful for those who are fresh in CS field.)

一个把DNA或者蛋白质序列转化为以为时间序列的程序，其中运用了混沌游戏表示的迭代算法，是很多后期后期相似性和相关性等分析必须的前提(the program used to transform the DNA or protein sequences into a time series based on chaos game representation)

在matlab，传统的边缘检测直接调用edge函数，但是得到的边缘信息较稀薄，可以通过将sobel,roberts,prewitt三种算子的边缘检测叠加起来，并且对于连续的边缘部分拓宽，使得边缘更连贯清晰(In matlab, traditional edge detection edge direct call function, but thinner than the edge information can be obtained by sobel, roberts, prewitt three edge detection operator stack up, and for widening the continuous edge portion, so that the edge is more consistent clear)

利用Matlab对Kouch曲线的程序编写，能生成Koch曲线并绘制图形，级数作为外部参数输入，可调整。(The use of Matlab program of Kouch curve to write, can generate Koch curve and graphics rendering, series as external input parameters, can be adjusted)

matlab经典教程课件，程序设计与应用，包括很多matlab函数(matlab classic tutorial courseware, program design and applications, including a lot of matlab functions)

美国六级谱转换为时域样本的逆傅立叶变换法MATLAB程序(MATLAB Program of Inverse Fourier Transform Method for Converting Six-Level Spectrum to Time-Domain Sample)

Multidomaine radar simulation using matlab