MATLAB-solving-PDE-code

利用小波分析对图像进行二级分解和重构的Matlab代码，带有中文注释，包括哈尔小波、上/下采样子函数(Using wavelet analysis to the image of the secondary decomposition and reconstruction of the Matlab code, with Chinese translations, including the Haar wavelet, up/down sampling Functions)

bch编码译码程序、很好的东西只得收藏。。。。。。。。(BCH coding decoding process........)

说明：  SCFDE的仿真，使用qpsk，还有相关文档(the simulation of SCFDE with QPSK)

成功实现3维FDTD的算法，算法简洁明了(Successful implementation of the three-dimensional FDTD algorithm is simple and clear)

说明：  关于中继选择性能的仿真，实现对中断概率，信噪比，碰撞概率的测量(Measurement on the relay selection performance of the simulation, the probability of outage probability, signal-to-noise ratio, collision)

阵列信号处理方面10个经典程序，包括波束形成，capon，MVCR等等，以及仿真图(10 classic program in array signal processing )

Matlab时频分析技术及其应用教材后面的源代码(Frequency analysis technology and its application materials behind when the source code Matlab)

HART协议文本，很难找到的，对开发HART协议相关特别有用。(HART text of the agreement, it is difficult to find, on the development of HART protocol related particularly useful.)

用于计算两个一维向量的互信息,information.m用于计算互信息值，需要调用histogram2.m(Use for calculating the mutual information with two one-dimensional vector.)

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.)