matlabhuatu1

It contains the information about the performance of the fractal image compression

利用y(n)=x(n)-y^2(n-1)+y(n-1)， x(n)=au(n),u(n)为阶跃序列，这一算法，计算了0.001-0.999之间数字的平方和，并给出图形，并与matlab自身的函数power进行了比较，给出了差值的图形(Calculates the square sum of the Numbers between 0.001 0.999, and the graphics is given, and with the function of matlab power are compared, and the difference of the graphics is presented)

说明：  基于KPCA的对葡萄酒数据的降维处理，将13维数据降维成小于13维的，可选(KPCA-based dimensionality reduction of wine data)

自适应算法,根据空域相邻块的运动水平,自适应地选择搜索策略,对于小运动块,充分利用中心偏置特性提高算法速度,对大运动块则利用多候选值算法力求得到真实的全局最小值,以确保对各种不同的图像序列都有较高的搜索速度和准确度(Adaptive algorithm, in accordance with the airspace adjacent to the level of block movement, adaptive search strategy to choose, for a small movement blocks, take full advantage of center-biased characteristics of algorithms improve the speed of movement of large pieces of the algorithm using multi-candidate seeks to be the true value of the overall situation minimum, to ensure a variety of image sequences have a high search speed and accuracy)

Matlab source code related to image. which is useful for the developers

老外写的关于MIMO-OFDM程序，比较容易理解,具有参考作用(Written by a foreigner on the MIMO-OFDM procedures are relatively easy to understand, with reference to the role of)

说明：  径向基函数神经网络（RBF）的MATLAB程序，比较详细，希望对学习RBF的人有帮助(Radial basis function neural network (RBF) of the MATLAB program, a more detailed study RBF people who want to help)

这个套件包含了C + +实现"减量和增量支持向量机学习"，根据Cauwenberghs和Piggio他们的matlab实现。(This package contains a c++ implementation of "Incremental and Decremental Support Vector Machine Learning, Cauwenberghs and Poggio" based on their matlab implementation. Getting started - make (to compile) - ./inc_svm 1 data_kernel.txt (to train and cross-validate) - ./inc_svm 1 diabetes_kernel.txt)

说明：  压缩感知的几种常见算法,可实现一维信号重构。(everal common algorithms of compressed sensing can realize one-dimensional signal reconstruction.)

这是一个快速傅里叶变换分析谐波类程序，以及生成火柴梗图的程序(This is a class of fast Fourier transform analysis of harmonic procedures, and the program generates Stick Figure)