EquaDiff2

extreme learning machine 例子 run sinc_mean (extreme learning machine examples run sinc_mean)

UFLDL中，pca in 2D 的代码，运行结果与提示结果一致(UFLDL，pca in 2D )

差分检测的程序，包括一个调制程序，以及两个检测程序：一个是比较复杂但是易于理解的，一个是简便方法。对于理解调制解调的初学者来说，很有帮助(Differential detection procedures, including a modulation process, as well as two testing procedures: one is more complicated but easy-to-understand, one is the easy way. For understanding the modulation and demodulation for beginners, very helpful)

无限长的序列也往往可以用有限长序列来逼近。对于有限长的序列我们可以使用离散傅立叶变换（DFT）。DFT是对序列傅立叶变换的等距采样。是序列傅立叶变换的等距采样。 本源码是对DCT、DFT、FFT的matlab实现(Infinitely long sequence is often a long sequence with limited approximation. For the finite length of the sequence we can use the discrete Fourier transform (DFT). DFT is a sequence of equidistant sampling Fourier transform. Is a sequence of equidistant sampling Fourier transform. The source is the DCT, DFT, FFT in matlab implementation)

matlab教程，包括初步、启动、创建矩阵、对象、画图、拟合、线性方程等。(matlab tutorials, including preliminary, start, create a matrix, object, drawing, fitting, linear equations and so on.)

说明：  GA遗传算法的入门教程 很是适合初学者,是不错的教材 有源程序(GA genetic algorithm was very introductory tutorial for beginners, is a good source of teaching materials are)

ofdm fu hao fangzhen (ofdm fangzhen)

OFDM时域均衡中所采用的utc算法，用Matlab写的代码(OFDM in time-domain equalizer used utc algorithm, using Matlab code written in)

MATLAB遗传算法工具箱PDF文档,可供使用GA工具的同学参考使用(PDF of Matlab toolbox for Gentic Algorithms)

1. this function is for image (width=176, hight=144) only. but you can modify the related value to fit yours. 2. it is used to evaluate the motion vector between the Nth image and N-1th image. 3. it use Three Steps search algorithm. 4. this algorithm finds the closest pixel near the original pixel in three times.(1. This function is for image (width = 176, hight = 144) only. But you can modify the related value to fit yours.2. It is used to evaluate the motion vector between the Nth image and N-1th image.3 . it use Three Steps search algorithm.4. this algorithm finds the closest pixel near the original pixel in three times.)