001Matlab

说明：  一个非常优秀的BP神经网络Matlab源程序(A very good BP Neural Networks Matlab source code)

基于PCA的人脸识别 Matlab代码 两种方法 KL 和kernel(PCA-based face recognition Matlab code)

指派问题整数规划,matlab程序，拟分配n 人去干n 项工作，每人干且仅干一项工作，若分配第i 人去干第j项工作，需花费c（i，j） 单位时间，问应如何分配工作才能使工人花费的总时间最少？(Assigned integer programming problem)

matlab边写的俄罗斯方块程序，可以直接玩的哦(mtetris)

Lot of m-files examples for wastewater and treatment

用于实现多普勒频移和时延的估计，是基于离散信号的频域周期性实现的。(jiontly doppler and delay estimation based on ambiguity function)

数字信号处理关于数字滤波器的设计，并用matlab实现(Digital signal processing on the digital filter design and realization of matlab)

DigiPic 函数主要功能是将一个图片形式的表格函数,获取其数据,拟合为一个解析式. 便于计算机使用 DigiPic功能描述 在matlab 2013a运行环境下,启动DigiPic 首先,导入要分析的图表照片 取点建立坐标系,坐标系在取点时同时输入对应的实际坐标值, 拖拽坐标点使其位置在图片上尽量准确,便于后面坐标的自动计算. 按右键完成坐标系的建立. 在图片上原函数图线处取点.同时自动计算函数值 在拟合页,导入函数数据.选择相应的拟合函数.自动计算出最佳参数. 在拟合前,可人工在函数列表中修改,设定参赛,使计算更快. 选择保存目录,保存数据.数据以excel文件保存,图片和数据文件最好放在一个目录里. excel文件数据可直接在其它分析软件中使用. 打开原分析文件时,可同时打开多个.( DigiPic function main function is to form an image in the form of a function, to get their data, fitting of an analytical style. To facilitate computer use DigiPic Description operating environment in matlab 2013a, start DigiPic First, import to be analyzed Charts Photos access point to establish a coordinate system, the coordinate system at the access point simultaneously enter the actual coordinate values ​ ​ corresponding to the coordinates of the point drag on the image to make it as accurate as possible location, easy to automatically calculate the coordinates back. completed by the right coordinates established. Uehara function graph in the picture at the access point. while automatically calculated in the fitting function value page data import function. choose the appropriate fitting function. automatically calculate the optimal parameters. before fitting, artificial modification in the function list, set the entry to make computing faster. choose to save)

FOR HELP AND DOCUMENT FOR POWER DCV S

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):