kurtosises

本程序能实现离线的数字识别，在MATLAB下运行，同时可以用其中部分代码实现图像的灰度，二值化，细化，归一化等功能，采用Bp神经网络。(This procedure can achieve the number of off-line identification, in the MATLAB run, at the same time part of the code can achieve one of the gray-scale images, binarization, thinning, and other functions normalized using Bp neural network.)

program codes on image processing

说明：  matlab命令大全，比较全，对大家学习matlab很有帮助的(matlab command Guinness, comparison-wide to all of us to learn matlab helpful)

说明：  伪随机码或称PN码，是扩频通信中不可缺少的一种序列。扩频通信，简单的说来就是通过一组相关性很强的伪随机序列，使原有的信号按照伪随机序列的特性出现。从波形上看，原有信号完全淹没于随机的噪声中，达到隐藏信号和抗干扰的目的。接受方只要有相同的伪随机序列，就可以通过伪随机序列很强的相关性将信号还原出来。而m序列，是扩频系统中最长用的伪随机序列。下面的代码就是基于matlab的生成m序列的代码，通过改变初始多项式的值，就可以生成不同阶数的m序列。(Pseudo-random code or PN code, spread spectrum communication is indispensable to a sequence. Spread spectrum communication, a simple to say that the adoption of a group of highly related to pseudo-random sequence, so that the original signal in accordance with the characteristics of pseudo-random sequence there. From the wave point of view, the original signal completely submerged in the random noise to hide the purpose of signal and interference. As long as the recipient has the same pseudo-random sequence, the pseudo-random sequence can be a strong correlation to restore the signal out. And m sequence spread spectrum system is the longest of the pseudo-random sequence used. The following code is generated based on m sequences of matlab code, by changing the value of the initial polynomial, we can generate a different order of the m sequence.)

本程序是围长为8的QC-LDPC码设计，包括了4、6、8环的检测(This program is the girth of 8 QC-LDPC code design, including the detection of 4,6,8 ring)

neuro anfis with Matlab

说明：  在matlab中运行的用于对数据进行正交信号校正的程序(Matlab running in the data for orthogonal signal correction procedure)

this code name is fast Fourier and it is used to implement the fast Fourier algorithm

清华张旭东老师《离散随机信号处理》教材第5章。本章首先简要复习经典谱估计的基本结论，然后分别讨论基于线性系统模型和复正弦模型的功率谱估计方法。(Qinghua Zhang Xudong teacher " discrete stochastic signal processing" textbook Chapter 5. This chapter begins with a brief review of the classical spectral estimation basic conclusion, and then discuss the power spectrum estimation based on linear system models and complex sinusoidal model approach.)

MATLAB软件的回归分析教程和MATLAB的具体程序说明(Regression Analysis MATLAB software tutorials and MATLAB description of the specific procedures)