school8

循环追踪算法程序,用于平面内多个体系统的分布式控制，能够达到收敛的目的，控制所需信息量少。(This code is about the cyclic pursuit algorithm which is used for controlling of formation moving in a plane.)

无噪情况下MUSIC算法doa估计MATLAB程序(MUSIC algorithm estimates doa)

全书包含 390 多个计算范例。所有算例的程序是可靠、完整的。读者可以在自己的MATLAB 环境中 完全准确地重现本书所提供的算例结果。算例的举一反三，将使读者很快掌握要领，从模仿走向灵活应用。(Book contains more than 390 examples of the calculation. Examples of all the procedures are reliable and complete. Readers in their own MATLAB environment completely and accurately reproduce the book provided by the results of numerical example. An example of giving top priority, will allow readers to quickly grasp the essentials, from imitation to creative use.)

说明：  MIMO-OFDM 自己参考一篇文献写的。有一定参考价值。(MIMO-OFDM have made reference to a written literature. A certain reference value.)

说明：  利用mean shift实现图像分割和平滑(utilize the mean shift method to achieve image segementation and flatness.)

说明：  自己编写的RootMUSIC算法进行信号频率估计的Matlab代码。(Matlab code of RootMUSIC frequency estimation algorithm.)

适当选择辅助变量，使之满足相应条件，参数估计值就可以是无偏一致。估计辅助变量法的计算量与最小二乘法相当，但辨识效果却比最小二乘法好的多。尤其当噪声是有色的，而噪声的模型结构又不好确定时，增广最小二乘法和广义最小二乘法一般都不好直接应用，因为他们需要选用特定的模型结构，而辅助变量法不需要确定噪声的模型结构，因此辅助变量法就显得更为灵活，但辅助变量法不能同时获得噪声模型的参数估计。(Choose appropriate secondary variables, meet the relevant conditions and parameter estimate can be unbiased consistent. Estimated auxiliary variable method calculation and least square method is quite, but the identification effect is much better than the least square method. Especially when the noise is colored, and noise model structure and not sure, augmented the least squares and the generalized least squares method is generally not used directly, because they need to choose specific model structure, and auxiliary variable method does not need to make sure that noise model structure, so the auxiliary variable method is more agile, but not at the same time auxiliary variable method for noise model parameter estimation.)

basic of matlab. matlab programming for beginners

Total gradient method extremum If using MATLAB is not difficult, but with C + + is not very easy.(Total gradient method extremum If using MATLAB is not difficult, but with C++ is not very easy.)

wrapping curvelet demos in matlab