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改程序主要是针对雷达信号处理中的应用，结合matlab处理(Reform program is mainly aimed at the application of radar signal processing, combined with matlab processing)

filtre rif en langage matlab et doc fichier

说明：  光谱的中心化处理算法去除一些噪声信息，使建模更精确稳定。(The center of spectral processing algorithms to remove some noise information, so that more accurate modeling stability.)

说明：  卡尔曼滤波源代码，含有噪声设置，特别适合初学者(Kalman filter source code, with noise, especially for beginners)

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)

对一段声音进行高通低通和带通滤波 ，观察其波形，滤波频率可选择(A sound of high-pass low-pass and band-pass filter, and observe the waveform, the filter frequency selectable)

自己编写的关于MATLAB与c++混合编程的小程序。(program)

用simulink做的机械系统的摩擦模型，希望对大家有帮助。(Mechanical Friction with Simulink and Physical Modeling)

说明：  求信号处理中的峰值信噪比，学通信与仪器的都可用(peak signal noise ratio)

遗传算法计算多旅行商问题：多个商人从多个城市出发各自返回自己的出发城市。(MTSPF_GA Fixed Multiple Traveling Salesmen Problem (M-TSP) Genetic Algorithm (GA) Finds a (near) optimal solution to a variation of the M-TSP by setting up a GA to search for the shortest route (least distance needed for three salesmen to travel the start location to individual cities and back to the original starting place))