JPDA

扩频调制模块设计及仿真（包括仿真参数设置及调制模块分析）(the design and simulation of spread spectrum modulation (including parameters and analysis))

Hard Iterative Thresholding Sparse Signal Reconstruction for Compressive Sensing L0-norm Minimization

duffing（多芬）混沌系统的混沌与临界混沌的图像(Duffing (more fun) Chaos and Critical Image Chaos)

利用matlab 进行段数傅里叶变换，进行频谱分析，对于从事相关工作的人很有帮助。(The number of segments by using Fourier transform of MATLAB, frequency spectrum analysis, is helpful to be engaged in relevant work.)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

基于能量最小原理计算脊椎受力和形状的matlab程序。我自己编写的。(Calculated based on the principle of minimum energy shape of the spine by the force and matlab process. I have written.)

matlab下可以直接使用的小程序 包括各种常用算法 对应书籍为《matlab宝典》 此为第四部分(matlab can be directly used for small programs include a variety of commonly used algorithms corresponding books as " matlab book" This is the fourth part)

3GPP演进协议LTE 实现检测CLSM OLSM SISO SIxO(The 3GPP Evolution agreement LTE detection CLSM OLSM SISO SIxO)

数字信号处理，LMS和RLS实例：给定正弦信号s(n)，现在我们获得得是受影响的数据x(n)=s(n)+v(n) ， v(n)为方差1.25的告示白噪声信号，请设计一个滤波器，使其输出与s(n)的均方误差最小，并给出用LMS和RLS算法的自适应求解方法的MATLAB仿真。(Digital signal processing, LMS and RLS instance: Given a sinusoidal signal s (n), now we get the data have affected x (n) = s (n)+ v (n), v (n) 1.25 for the variance Notice the white noise signal, to design a filter so that the output and s (n) The minimum mean square error, and gives the algorithm with the LMS and RLS adaptive method for solving the MATLAB simulation.)

Matlab script for Alamouti code