FastICA

ADSL时域均衡器,包括Matlab程序和TI C62x DSP处理器上运行的C程序(ADSL Time-Domain Equalizer running on a Texas Instruments C62x digitial signal processor)

说明：   小波神经网络MATLAB程序(Wavelet Neural Network MATLAB program)

说明：  提出了一种综合采用ButterWorth低通滤波器和平均值低通滤 波器的低通滤波器设计新方法. (Presents a comprehensive low-pass filter and using ButterWorth average low-pass filter low-pass filter design of the new method.)

非线性曲线拟合是已知输入向量xdata和输出向量ydata，并且知道输入与输出的函数关系为ydata=F(x, xdata)，但不知道系数向量x。今进行曲线拟合，求x使得输出的如下最小二乘表达式成立： min Σ(F(x,xdatai)-ydatai)^2(Nonlinear curve fitting is a known input and output vectors xdata vector ydata, and know the relationship between the input and output functions for ydata = F (x, xdata), but do not know the coefficient vector x. As least-squares curve fitting expression today, find x such that the output of the establishment: min Σ (F (x, xdatai)-ydatai) ^ 2)

说明：  雨流计数法，可以参考，用于雨流计数统计循环次数(Rain flow counting method)

matlab最优化程序包括 无约束一维极值问题 进退法 黄金分割法 斐波那契法 牛顿法基本牛顿法 全局牛顿法 割线法 抛物线法 三次插值法 可接受搜索法 Goidstein法 Wolfe.Powell法 单纯形搜索法 Powell法 最速下降法 共轭梯度法 牛顿法 修正牛顿法 拟牛顿法 信赖域法 显式最速下降法(matlab optimization program includes one-dimensional extremum problem without constraint advance and retreat method Fafei Bo Fibonacci golden section method the basic Newton method, global Newton method Newton secant parabola method acceptable to the three interpolation methods Wolfe.Powell search method Goidstein simplex method Searching Powell steepest descent method conjugate gradient method modified Newton method Newton Newton trust region method to be explicitly steepest descent method)

是全面分析旅行商问题的工具箱，包含了很多方面的测试程序(is a comprehensive analysis of the traveling salesman problem toolbox contains a lot of testing procedures)

A program to hide a text in an image

matlab 实验wewqdeqwdwqd(matlab test ssx csacs)

说明：  用于图像压缩，并同时对图像进行加密，减少存储空间(In this project we implemented an Image Compression and Encryption algorithm from the reserach paper "Novel Image Compression-encryption hybrid algorithm based on a key-controlled measurement matrix in compressive sensing" by Nanrun Zhou, Aidi Zhang, Fen Zheng, Lihua Gong.)