lorenz

zigzag function for matlab

toolbox for camera calbiration using matlab

基于tdoa定位的chan算法，经典算法，基本实现(Based tdoa positioning chan algorithm, the classical algorithm, the basic realization)

说明：  发电微网控制;电力系统;MATLAB程序(Generation Microgrid control;Power system;Matlab program)

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)

应用最小二乘法对一阶系统进行辨识，得到相应的参数(Least square method the first order system identification, the corresponding parameters)

说明：  实现IMU数据的拓展卡尔曼滤波,可以解算人体姿态，得到欧拉角等数据(Extened kalman fikter)

说明：  轮廓图真彩图与三维表面的MATLAB程序。希望对大家有帮助。(True color contour map and three-dimensional surface of the MATLAB program. We want to help.)

根据简谱和十二平均律自动合成音乐，以及对音乐进行基频分析，分解为简谱。(According to the law and the 12 chords on average to synthesize music, as well as to the music on a frequency analysis, the decomposition for chords. )

《MATLAB神经网络30个案例分析》中的第22个例子，案例22 LVQ神经网络的预测——人脸朝向识别。希望对大家有一定的帮助！ (The MATLAB neural network analysis of 30 cases of 22 example, 22 cases of LVQ neural network prediction, face toward the identification. Hope to have certain help to everybody!)