Permanent-magnet-synchronous.

只使用待测用户的观测数据，不需要其他用户（干扰用户）信息就可以抵消多址干扰进行检测的自适应检测器称为盲自适应多用户检测器，常简称为盲多用户检测。用LMS算法更新检测器系数时即为盲自适应多用户检测的LMS算法(Use only tested the user' s observations, no other user (interference user) information to be offset by multiple access interference detection and adaptive detector known as the blind adaptive multiuser detector, usually referred to as the blind multiuser detection. Detector with LMS coefficient update algorithm when it is blind LMS adaptive multiuser detection algorithm)

Matlab与VPI联合仿真光OFDM传输系统，其中VPI只完成光纤传输其余都用matlab完成。系统包括了上下变频，clipping等模块。(Matlab co-simulation with VPI optical OFDM transmission system, wherein the optical fiber transmission VPI only complete rest are completed using matlab. System includes a down conversion, clipping and other modules.)

matlab粒子群算法程序，Particle Swarm Optimization in Matlab(Particle Swarm Optimization in Matlab)

In this paper, the concepts of Daubechies wavelet transform are discussed. The Daubechies wavelets are a family of orthogonal wavelets defining a discrete wavelet transform and characterized by a maximal number of vanishing moments for some given support. With each wavelet type of this class, there is a scaling function which generates an orthogonal multi resolution analysis.

先做灰階圖片，再利用IMHIST來做統計，在做SMOOTH來讓使用者更容易了解圖片的特色 (Grayscale images do first, and then use IMHIST do statistics, SMOOTH do to make it easier for users to understand the characteristics of the picture)

随机森林分类器 可以实现分类 适合初学者学习参考(Neural network classifiers can be used to classify information for beginners to learn)

watermarking using dct

说明：  遗传算法（Genetic Algorithm，GA）最早是由美国的 John holland于20世纪70年代提出,该算法是根据大自然中生物体进化规律而设计提出的。是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。该算法通过数学的方式,利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。(Genetic algorithm (GA) was first proposed by John Holland of the United States in the 1970s. It is designed and proposed according to the evolution law of organisms in nature. It is a computational model of biological evolution process simulating natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating natural evolution process. The algorithm transforms the solving process of the problem into a process similar to the crossover and mutation of chromosome genes in biological evolution by means of mathematical method and computer simulation. When solving complex combinatorial optimization problems, compared with some conventional optimization algorithms, it usually can get better optimization results quickly. Genetic algorithm has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life.)

基于非线性干扰观测器的直升机滑模反演控制(Based on nonlinear disturbance observer helicopter sliding inversion control)

说明：  上传是以.tex形式的matlab100个各种仿真例程源码！非常有用的哦！(From on. Tex form of a variety of simulation routines matlab100 source! Oh, very useful!)