avi_reader

This GUI can be used to regulate any controllable, nonlinear system to the origin.* It uses a switched Lyapunov control function. The nonlinear system can be of any order and with any number of inputs. There are some beta options as well, including adaptation. The beta features have not been well-tested nor mathematically proven but they can be useful in practice.

介绍matlab的详细画图功能及动画功能，为读者提供快捷的查找资料(Matlab functions described the detailed drawing and animation features to provide readers find information fast)

matlab在数学建模中的应用一书源代码(matlab in the mathematical modeling of a book source code)

实现基于NeuroScan平台采集的脑电信号的数据分类、打标等功能(Realize the functions of data classification and marking, etc.of EEG collected by NeuroScan platform)

动力学系统仿真程序.rar 动力学系统仿真程序.rar(Dynamic system simulation program. Rar)

小波模极大值用于边缘提取，是学习小波的好的程序及学习资料……(Wavelet modulus maxima for edge extraction, wavelet is learning good program and learning materials ...)

matlab高级应用教程，涉及到插值方法、高斯积分、边值问题、动力学相应分析、非线性积分、弯曲梁结构计算等等(matlab tutorial for advanced applications involving the interpolation method, the Gaussian integral, boundary value problem, the corresponding dynamic analysis, nonlinear integral, bending beam structure calculation, etc.)

瑞利和高斯信道下的BPSK误码率，含有详细解释，成功运行，学习通信仿真第一个程序。(BPSK BER under Rayleigh and Gaussian channel containing a detailed explanation of successful operation, the first communication simulation learning program.)

2D FDTD simulation code

最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)