Matlab

对VBLAST的几种常见的算法（zf,mmse,sic,zf/mmse_sic,osic,sqrd）分别进行了编程仿真(On several common algorithms VBLAST (zf, mmse, sic, zf/mmse_sic, osic, sqrd) simulation program were carried out)

说明：  经典的matlab与VC++混合编程例子(using Matlab and c++ to program togother。)

matlab关于自适应波束形成以及阵列信号处理的程序教程，适合初学者(for beginners about array signal processing)

使用wolf方法求最大lyapunov指数，核心算法为c语言，接口为matlab(method for the use of wolf largest lyapunov index, the core algorithm c language, Interface to Matlab)

说明：  运动载体的定位与导航一般应用Kalman滤波算法。可 靠的Kalman滤波算法要求有可靠的函数模型、随机模型以 及合理的估计方法。实际情况中运动载体一般难以确保规 则运动，因而精确的函数模型的构造十分困难。近年来， 有不少学者对机动载体运动模型进行了讨论，所属内容各 具特点，建立的各种模型包括微分多项式模型、常速度模 型、常加速度模型、时间相关模型，半马尔柯夫模型、 Noval统计模型及机动载体的“当前”统计模型(Moving vehicle positioning and navigation general application of the Kalman filter algorithm. Kalman filter algorithm requires a reliable function model, a stochastic model, as well as a reasonable estimation method. Moving carrier in the actual situation is generally difficult to ensure a regular motion, and thus the the precise function model structure is very difficult. In recent years, many scholars have discussed the movement of the motor carrier model, each with distinct characteristics of their respective content, establish various models including the differential polynomial model, constant velocity model, constant acceleration model, time-dependent model, semi-Markov model, Noval statistical model and motor carrier &quot current&quot statistical model)

电缆的EMC设计分析介绍，具体介绍了场在导线中感应的噪声以及电缆之间的串扰(EMC introduces the design of the cable analysis)

chi-square testing for lognormal distribution

Cognitive Science SDM code

说明：  对一个二阶模型模型进行脉冲响应辨识，并且通过搭建simulink模型取得了两组输入-输出数据，一组是在有高斯噪声的干扰下获得u1-y3，另外一组是在没有高斯噪声的情况下获得的u1-y1，对这两组数据进行基于haar小波基的脉冲响应辨识，与实际模型的脉冲响应相比较（注：三个excel表必须放在matlab/work文件夹下才能运行）(Second-order model to a model of impulse response identification, and achieved through building simulink model for two groups of input- output data, a Gaussian noise in the interference with access to u1-y3, another group in the absence of Gaussian noise of access to the u1-y1, these two sets of data haar Wavelet-based impulse response identification, and the actual model of the impulse response comparison (Note: Three excel table must be on the matlab/work folder to run ))

一个维纳滤波算法,利用MATLAB编写的,解压后可直接调用(a Wiener filter algorithm, using MATLAB, unpacked directly call)