xiaobofenjie-chonggou-nengliangfenxi

说明：  课本配套资料 飞思图书：神经网络理论与Matlab7实现 全部为.m格式代码(textbooks information supporting interchangeable books : neural network theory and achieving all of Matlab7. M code format)

Matlab通信仿真原理，中文的，是一本入门级别的，写的很详细，也有很多详细的例子(Matlab Communication simulation theory, in Chinese, is an entry-level, written in great detail, there are many detailed examples)

基于四阶累积量的多重信号分类算法MUSIC，在matlab环境下实现(Based on fourth-order cumulant multiple signal classification algorithm MUSIC, in the matlab environment to achieve)

可实现对二维数据的聚类，多机电力系统仿真及其潮流计算，关于非线性离散系统辨识。( Can realize the two-dimensional data clustering, Multi-machine power system simulation and flow calculation, Nonlinear discrete system identification.)

自适应的遗传算法以及MATLAB实现，拿去学习吧(Standard genetic algorithms and MATLAB implementations)

一本不错的matlab教程，从入门到深入，全程采用实例讲解，通俗易懂。(A good tutorial matlab, from entry to the in-depth, full use of examples to explain, easy to understand.)

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):

this project is safe browsing project with BHO in IE

说明：  这个文件是QPSK的编码文件，利用的是matlab的开发环境，实用的小程序(This file is QPSK encoded file, using the matlab development environment, a small utility program )

运用进行编程实例，达到了解MATLAB的目的，为今后应用打好基础(Examples of the use of programming, to understand the purpose of MATLAB, to lay the foundation for future applications)