包括牛顿插值，拉格朗日插值，样条插值。

kd-tree 是广泛用来处理多维寻找最近点的数据结构。该文件中是由matlab调用c++代码实现的，其中实现包括kd-tree的建立最近点的查找等。(kd-tree is kind of data structure which is widely used to find the nearest point in multi-demensions.The zip file contain matlab and cpp files.The functions implemented include kd-tree building and nearest points searching and so on.)

用wolfe-powell准则求解问题。具体实例用c++语言给出。(-use Wolfe-Powell method to solve the problem)

Active contour with level set and Kass methods. start with initial circles around objects and then converge in edges of objects, matlab

基于System Generator的图像处理工程,多媒体处理FPGA实现的源码,基于视频的运动跟踪(System Generator based image processing engineering, multimedia processing on FPGA source, video-based motion tracking)

本程序的性能已经超过其他算法，可实现对二维数据的聚类，是路径规划的实用方法，对HARQ系统的吞吐量分析，已调制信号计算其普相关密度，有CDF三角函数曲线/三维曲线图，采用波束成形技术的BER计算。(This program has exceeded the performance of other algorithms, Can realize the two-dimensional data clustering, Is a practical method of path planning, HARQ throughput analysis of the system, Modulated signals to calculate its density Pu-related, There CDF trigonometric curve/3D graphs, By applying the beam forming technology of BE.)

正确率可以达到98％，matlab程序运行时导入数据文件作为输入参数，有信道编码，调制，信道估计等，连续相位调制信号(CPM)产生，GSM中GMSK调制信号的产生，粒子图像分割及匹配均为自行编制的子例程。

huffman and entropy approach

用共轭梯度法求解x1^2+4*x2^2.精度为0.1(The Conjugate Gradient Method x1 ^ 2+4* x2 ^ 2. Accuracy of 0.1)

非常有用的非平稳信号分析工具箱，对非平稳信号参数估计很有帮助。(Useful non-stationary signal analysis toolbox, non-stationary signal parameters estimated helpful.)

1、 降噪步骤： （1） 一维信号的小波分解。选择一个小波并确定分解的层次，然后进行分解运算。 （2） 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。 （3） 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。 matlab里面有关于去噪的函数，你可以找一下~~ 这说的只是基本原理，希望有所帮助(1, noise reduction steps: (1) one-dimensional signal wavelet decomposition. Select a wavelet decomposition level and determining, and then divide the operation. (2) high coefficient wavelet thresholding. For each decomposition scales have high coefficient selection threshold soft threshold quantization. (3) one-dimensional wavelet reconstruction. According to the lowest level of the low frequency wavelet coefficients and high frequency coefficients of each one-dimensional wavelet reconstruction. There are about denoising matlab function, you can find some ~ ~ This says just the basic principle, we hope to help)