double_pendulum_documentation

数值计算，关于MAtlaB的数值计算方面的程序，希望能帮助大家学习，改进( lyapunove package for solving stochastic differential equations in MATLAB-Solution of stochastic differential )

该压缩包包含了“信号与系统分析及MATLAB实现”一书的所有程序； (The archive contains a " signal and system analysis and MATLAB to achieve" a book of all programs )

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

本文件用MATLAB实现MMSE算法，源代码(SMI algorithm )

ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，语音信号的采集与处理，数字信号处理课设，对信号进行频谱分析及滤波。( ofdm system simulation including 16qam modulation fft windowing modules plus cp, Acquisition and Processing of the speech signal, digital signal processing class-based, The signal spectral analysis and filtering.)

基于dct的伪随机序列的数字图像水印，算法较为简单，鲁棒性一般，不能很好地抵御噪声攻击(Dct pseudo-random sequence-based digital image watermarking algorithm is relatively simple and general robustness against noise attack can not)

基于Belief Propagation算法的立体匹配(Belief Propagation algorithm based on stereo matching)

delcam soft crack,very good.

IEEE 2013 base papers on power electronics

试过很多matlab机器人工具箱，这个是好用的，带使用说明书和例子。(Tried of many-matlab robots Toolbox, this is easy to use, with manual and examples.)