Comparison-Study-of-MPPT

export figure : to export figure from matlab easily and efficiently

用matlab语言实现Goldsequence产生(using Matlab language have Goldsequence)

basic ofdm with interlever: The transmitter section converts digital data to be transmitted, into a mapping of subcarrier amplitude and phase. It then transforms this spectral representation of the data into the time domain using an Inverse Discrete Fourier Transform (IDFT). The Inverse Fast Fourier Transform (IFFT) performs the same operations as an IDFT, except that it is much more computational efficiency, and there is used in all practical systems. In order to transmit the OFDM signal the calculated time domain signal is then mixed up to the required frequency.

书籍《Understanding Molecular Simulation Algorithms to Application》的问题和例子，并附有代码(help learning ‘Understanding Molecular Simulation Algorithms to Applications’ case about molecular simulation, with results and codes)

假定半波长间隔均匀分布线列布阵的阵元数N=16，若入射平面波为f=62.5Hz的正弦信号，信号持续时间为0.4s， 系统采样频率 =1 KHz,阵列加权为均匀加权，分别给出 a)当平面波信号分别从 0,10,20,30,40,50,60,70,80,90,100度方向入射时，指向90度的波束形成器的输出序列； b)当平面波信号分别从0:1:180度方向入射时，指向90度的波束形成器的输出序列经过平方求和后的分贝数输出（把所有181个输出绘制在同一幅图中)(Assuming N=16, f=62.5, fs=1KHz, uniform weight, and the code gives: a) 90 degree response when incidence angles are: 0: 10: 100 degrees b) 90 degree spectral response when incidence angles are: 0:1:180 degrees )

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

一本很好的MATLAB书籍，里面讲述的内容非常基础，适合入门学习(MATLAB a very good book, the content of which is about very basic, suitable for beginners to learn)

Matlab code for the simulation of HF channel with Rayleigh fading

基于最小均方算法的自适应数字波束形成器matlab程序(Algorithm based on minimum mean square adaptive digital beamforming matlab program)

用matlab编写的电磁学方面的函数和图像(Prepared by using matlab function aspects of electromagnetics and images)