motion3

ofdm是比较常用的调制方式，本文给出了子带的ofdm的matlab程序，希望可以帮助大家(OFDM modulation is more commonly used methods, this paper presents a sub-band of the OFDM matlab program, I hope you can help)

模糊控制累的 ，主要用simulink实现，采用simulink搭建和实现模糊控制(Fuzzy Control tired, mainly using simulink simulink structures and fuzzy control)

用MATLAB实现对同一声音信号的不同频率的采样速率输出幅度谱和相位谱。(MATLAB to the same acoustic signals of different frequency of the output amplitude spectrum and phase spectrum sampling rate.)

应用于多峰值MPPT问题，采用PSO寻找最大功率点，具体实现在S-function中，仿真时建议找一个内存大的电脑用连续仿真，离散在这种仿真时容易出问题。自行读程序只需输入光伏电压电流即可实现，仿真多峰值问题时光伏板注意反并联二极管，输出为占空比，boost、隔离boost都可以使用(For multi-peak MPPT problem, PSO is used to find the maximum power point, which is realized in S-function. It is suggested that a computer with large memory be used for continuous simulation. Discrete simulation is prone to problems. The self-reading program can be realized only by inputting photovoltaic voltage and current. In the simulation of multi-peak problem, the photovoltaic board pays attention to the anti-parallel diode.)

说明：  pso基本算法的代码，能满足最基本的需要，适合初学人员，便于理解(pso )

Blind channel estimation equalization adpative CMA method (Blind channel estimation equalization ad CMA method pative)

Transformer simulation using matlab

MATLAB finite element code I

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

这是MATLAB中的三个很好的实验，通过这三个实验可以更好地理解数字图像处理的原理(This is the MATLAB three very good experiment, the adoption of these three experiments can be a better understanding of the principles of digital image processing)