LMSmatlab

使用MATLAB6.5实现的自适应学习速率反向传播网络(Matlab6.5 achieved using adaptive learning rate back-propagation network)

algoritmo pca, en matlab si funciona

吉布斯定轨法。 输入：轨道上任意三个点的位矢(R1,R2,R3)； 输出：质点在R2端点时的速度V2；ierr是个判断符号，返回的ierr是零的话，就说明‘R1,R2,R3’共面，如果ierr是1的话说明‘R1,R2,R3’不共面(正常情 况下，要构成轨道的话，‘R1,R2,R3’一定共面 ，即ierr是零，如果ierr是1的话说明输入的‘R1,R2,R3’不共面不能构成轨道。 此函数用于：任意给定三个空间共面的向量，可以确定质点在R2处的速度V2，也就得到了轨道上的一个状态向量(R2,V2),调用前面的函数就可以确定其轨道，及任意时刻的状态。(Gibbs set the track method. Input: track any three points of the bit vector (R1, R2, R3) output: particle at R2 endpoint speed V2, ierr is a judgment symbol, The ierr that is returned is zero, then, it means' of R1, R2,, R3, ' coplanar, if ierr is 1, then description' of R1, R2,, R3, ' not a total surface (under normal circumstances, you want to constitute a track, then,' of R1, R2, R3, ' a certain total surface, ierr is zero, if ierr is an instructions to enter the words ' of R1, R2, R3' coplanarity can not constitute a track. This function is used: for any given three space vector of the surface, can determine the particle at the speed V2, R2 also track a state vector (R2, V2), call the previous function can determine its orbit, and at any time of the state.)

Peter J原代码能够实现金字塔层次的图像融合(Source code of A Multiresolution Spline With Application to Image Mosaics (1983) Peter J. Burt, Edward H. Adelson)

matlab的一些波束形成的算法 多种方法。。(the matlab the beamforming algorithm a variety of methods. .)

基于时频的多元数据同步挤压分析，变换的多变量时频表示的基础上，执行同步挤压。(When multivariate data base frequency synchronization squeeze analysis, multivariate conversion frequency representation based on the synchronization squeeze.)

预报误差法参数辨识-松弛的思想，加入重复控制，matlab开发工具箱中的支持向量机，可以实现模式识别领域的数据的分类及回归，包含了阵列信号处理的常见算法。(Prediction Error Method for Parameter Identification- the idea of relaxation, Join repetitive control, matlab development toolbox support vector machine, You can achieve data classification and regression pattern recognition, Contains a common array signal processing algorithm.)

说明：  简单的BP神经网络分类，包括数据，预处理的程序如果需要可以联系我(Simple BP neural network classification)

matlab语言实现的k-means算法，用于对数据对象进行分类。(matlab language of the k-means algorithm to classify the data objects.)

图片任意角度旋转，没有做插值处理，matlab版本。(Image rotation any angle, does not do interpolation, matlab version.)