daima

电影院排队系统仿真程序，随机人数到达电影院，计算最短排队时间，排队人数，生成图形(Cinema queuing system simulation program, random number to reach the cinema, computing the shortest queue time, queue size, generated graphics)

现代通信信号在matlab中的实现以应用程序(good )

a lab for hidden markov model using matlab

阵列信号处理中的零点预处理算法，内含基本算法及对旁瓣的改进算法，注释很详细。另附本人做的利用该算法进行阵列信号处理的仿真PPT。(the zero_point preprocessing algorithm in array signal processing, containing the basic algorithm and improved algorithm for sidelobe, very detailed notes. Attached I do use this algorithm for array signal processing simulation PPT.)

deeplearning的工具箱，里面包含了多种神经网络的模型(deeplearning toolbox, which contains a variety of neural network models)

一个贪食蛇的小程序，可以在matlab环境下进行贪食蛇。(A small贪食蛇procedures, can be carried out under the matlab environment贪食蛇.)

说明：  车牌识别，MATLAB源代码，夜间车牌识别程序(Matlab night license plate recognition program)

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)

turbo编码源代码！！！！！！！！！！！！！！！！！！！！！！！！！！(turbo coded source code)

《MATLAB神经网络30个案例分析》中的第5个例子，案例5 基于BP_Adaboost的强分类器设计-公司财务预警建模。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 5 example, case 5 strong classifier design based on BP_Adaboost- corporate financial early warning model. Hope to have certain help to everybody! )