boundary_condition_methods

说明：  想学LTE系统相关知识的朋友可以看看这本经典书籍(Want to learn the system knowledge LTE friends can look at this classic book)

说明：  卡尔曼滤波，我是从国外下载来得 ，大家看一下有什么问题，我不是很懂，最近正在做，有机会了和大家交流。(Kalman filtering, I was downloaded more from abroad, we have to look at what, I do not know very much about. recently are doing, and have the opportunity to share.)

分数阶混沌系统的Lyapunov指数,有利用分数及的计算(fractional chaotic newsysytems Lyapunov)

对ip-iq算法电流谐波检测搭建三相四线制电流谐波检测simulink模型，参数已经调节好可直接运行，输出波形。(The ip-iq algorithm is used to detect current harmonics, and a three-phase four wire current harmonic detection Simulink model is built. The parameters have been adjusted and can be directly operated and output waveforms.)

是用matlab编程实现PSK的很好例子，(Matlab programming is a good example of PSK,)

使用matlab在16进制数据中加入高斯白噪声（程序虽小但是自己完成）(Using Matlab to add Gaussian white noise in the hexadecimal data (procedures may be small, but complete by myself))

说明：  matlab 产生带运动和噪声的退化图像(matlab generated with movement and noise degraded images)

matlab 程序汇编学习课程 上 自学matlab的最好资料(matlab study)

Matlab接收串口的数据，并作出相应的处理(Matlab receive serial data and processing it )

这个MATLAB软件包实现了小波在一维Gabior样转换的文件中所述： [1] K.N.乔杜里，M.，王凤琴，“建设希尔伯特变换的双 波基和Gabor变换，“对信号的IEEE交易 加工，第一卷。 57，没有。 9，3411-3425，2009年9月。 作者：K.N.乔杜里。 模块如下： --------------------------- 1。 demo.m 一个简单的例子演示软件的使用。 2。 autcorr.m 计算自相关函数的频率响应。 3。 filters.m 计算尺度和小波滤波器。 4。 projectionFilters.m 到近似计算的投影最小二乘过滤器 空间。 5。 analysis.m 计算复杂的小波子在不同的分辨率。 6。 synthesis.m 从低通逼近和重构原始信号 小波系数。 7。 displayResults.m 显示输入信号，真实，小波虚componenets 子带，在每一项决议和其modlus和相位，也是 重建信号和错误的。 8。 exception.m(This MATLAB package implements the Gabior-like wavelet transform in 1-dimension as described in the paper: [1] K.N. Chaudhury, M. Unser, "Construction of Hilbert Transform Pairs of Wavelet Bases and Gabor-Like Transforms," IEEE Transactions on Signal Processing, vol. 57, no. 9, pp. 3411-3425, September 2009. Author: K.N. Chaudhury. The modules are as follows: --------------------------- 1. demo.m Demonstrates the usage of the software with a simple example. 2. autcorr.m Computes the frequency response of the autocorrelation function. 3. filters.m Computes the scaling and wavelet filters. 4. projectionFilters.m Computes the filters for the least-squares projection onto the approximation spaces. 5. analysis.m Computes the complex wavelet subbands at different resolutions. 6. synthesis.m Reconstructs the original signal from the lowpass approximation and the wavelet coefficients. 7. displayResults.m Disp)