To_plot_the_Rectangular_window_for_filters

matlab免费软件下载地址汇总。包含了R2010/R2009/R2008/2007/R2006各个版本。欢迎下载。(Free Software Download matlab summary. Each version contains R2010/R2009/R2008/2007/R2006. Welcome to download.)

Probabilistic Model Toolbox Matlab

说明：  无速度传感器.rar 异步电机的无速度传感器的矢量控制。matlab程序。有详细的说明文件。用于交流学习用(Speed sensorless. Speed sensorless vector control of RAR induction motor. Matlab program. There are detailed documents. For communication and learning)

极值学习机，一种最近流行的算法。它的使用，使得计算过程大大的简化，值得交流分享。(Extreme Learning Machine, a recently popular algorithms. Its use, so that the calculation process is greatly simplified, worth sharing.)

Matlab 6.5 finding is it a signal a FSK modulated.

a simulink(MATLAB) file for decreasing noise....it removes the noise but adds musical noise

维也纳大学的LTE链路级仿真平台,实现了LTE两路及仿真的整个个过程(LTE link lever simulation)

这是一个用基于折线的信赖域方法求解优化问题的matlab程序(This is a matlab program polyline-based trust region methods for solving optimization problems)

this package provides ehe fuzzy c means segmentation algorithm and its input type.. source code is also availble

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)