BrentOptimize

一种基于 matlab 的电力系统仿真组件,用于电力系统潮流计算的软件的说明(See http://www.pserc.cornell.edu/matpower/ for more infomation)

功率谱估计AR和经典普估计，以及平滑的周期图估计，并对其优化。。(AR power spectrum estimation and classical general estimation, and smoothing of the periodogram estimate, and its optimization. .)

基于matlab的边缘检测源程序 基于matlab的边缘检测源程序 基于matlab的边缘检测源程序(Matlab-based edge detection source)

基于灰度共生矩阵的图像特征提取,包括熵、相关性、标准差及方差(Image feature extraction based on GLCM，including entropy, correlation, standard deviation and variance)

递推最小二乘法是参数辨识中最常用的方法A 但容易产生参数爆发现象,文推导了一种更稳定的辨识方法用递推阻尼最小二乘进行系统辨识(Recursive least squares method is commonly used in the parameter identification method A but easy to produce A burst of parameter phenomenon, wen A more stable identification method was deduced using recursive damped least squares identification system)

实现神经网络PID进行编程，仿真，此神经网络是BP神经网络。(Realize the neural network PID programming, simulation, the neural network is BP neural network.)

本仿真是在matlabsimulink完成的，主要功能是实现交-直-交变换，在电力电子变流中具有重要作用，通过变换器能实现风力发电系统功率的平稳输出和风力发电系统的并网(It helps to simulink the whole windturbine)

迭代法（单点迭代法）Matlab编程实现(terative method (single iteration) Matlab Programming )

使用kalman滤波实现动态行人检测与跟踪(dynamic people detection using kalman filter)

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):