harada

雅克比迭代求解线性方程组课设,BP神经网络用于函数拟合与模式识别，应用小区域方差对比，程序简单。( Jacobi iteration for solving linear equations class-based, BP neural network function fitting and pattern recognition, Application of small area variance comparison, simple procedures.)

利用时域相关定理结合FFT完成相关函数计算源程序，包括时延估计。(Theorems time domain and FFT to complete the correlation function computing source, including delay estimation.)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

三个耦合区的微环谐振器的滤波特性matlab仿真(Microring resonator filter characteristic three coupling region)

MATLAB语言与控制系统仿真ch1 本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院校研究生、本科生教学用书，也可作为广大科研工程技术人员的自学用书。(MATLAB language and Control System Simulation ch1 book based on MATLAB 5.2 version, to provide practical guidance for using MATLAB. MATLAB has become a suitable the multidisciplinary working platform powerful, user-friendly, natural language open large outstanding application software, as well as domestic and foreign institutions of higher learning higher mathematics, numerical analysis, digital signal processing, automatic basic teaching tools of control theory and engineering applications courses. The book is organized in a logical, throughout the examples described complete and relatively independent of each chapter is a concise MATLAB reference books, both for beginners and for advanced MATLAB users. Combined with the description of MATLAB and FORTRAN, C, and other languages ​ ​ is a rare feature in the books of all MATLAB. This book is suitable as a science and engineering universities graduate, undergraduate teaching books, the majority of scientific engineering and)

在simulink的环境下的电机功率的研究仿真模型，并有良好的效果(In simulink environment of motor power, a simulation model of research and has a good effect)

SVPWM的matlab仿真模型，基于simulink搭建，完美实现两电平逆变输出。附带svpwm算法及实现过程，适合自学研究。(SVPWM matlab simulation model, based on simulink structures, the perfect realization of two-level inverter output. With svpwm algorithm and implementation process, suitable for self-study.)

this is basic for understood radar

一种比较好的抗锯齿算法 Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots. See attached screenshot for a demonstration. More examples included in the code, just run help myaa . Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish( test.m ,opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.(A better anti-aliasing algorithm Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots.See attached screenshot for a demonstration. More examples included in the code, just run help myaa. Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish (test.m, opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.)

ica for pid design project