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EMD算法，经验模态分解，信号处理与分析方面用到，算法很简单，中文(EMD algorithm, the empirical mode decomposition, signal processing and analysis used, the algorithm is very simple, Chinese)

Direct Torque Control for Matrix Converter Drives PMSM DTC Matrix Converter

Z源逆变器的光伏系统仿真，对象是直流无刷电机，理论很深，对写论文有帮助(Z-source inverter PV system simulation, the object is a DC brushless motor, deep theory, help to write papers)

对某一标准图像进行二维Mallat小波的3级分解，获得小波高/低频系数，分别 用低频分量LL1、LL2、LL3的小波系数进行图像重建，分别计算这三种情况 和原始图像比较的PSNR。(A standard image 3 2D Mallat wavelet decomposition, wavelet high/low frequency coefficients , respectively Low frequency component LL1 , LL2, LL3 wavelet coefficients for image reconstruction, respectively, to calculate the three And compared to the original image PSNR. )

max lag multiplied by 8 for raw and project representations.

说明：  二维直方统计图 网格为基础的，简单好用( imput: (1) x(i), y(i) point position data (2) bin grid number for x and y direction (3) lowx, highx, lowy, highy outpu: (1) matrix X, Y for 2 dimension (2) histogram value)

A DVB-T 2K Transmission simulation of OFDM

Simulink realisation of simple RLS equalizer

BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)

该书第一章系统讲述MATLAB6.5 的集成工作平台，引导读者初会MATLAB 基本用法。第二、三章系统叙述MATLAB6.1 的四大基本数据类型（数值数组、字符串数组、元胞数组、构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit 数组、稀疏类）则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数和数据可视、面向对象编程、GUI 交互操作界面设计、EXE 独立应用程序生成、实现不同软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。本书用专门的一章深入浅出地阐明SIMULINK 的分层建模、仿真功能、与MATLAB 交互的功能。(err)