MATLABfunction

HFSS 耦合器 微带结构 可调参数(HFSS structure of adjustable parameters of microstrip coupler)

在MATLAB中实现动画效果 摘要: MATLAB是 MathWorks公司开发的新一代的科学与工程计算软件, 已经成为全球应用最广泛最流行的软件之一。随着该软 件应用的不断普及, 用户对其动画功能的需求也在不断增加。该文主要介绍了在 MATLAB 中实现程序动画、 Flash 动画和影片动画等效 果的方法。具有较强的针对性、 代表性和实用性。(To achieve animation effects in the summary of MATLAB: MATLAB is a MathWorks has developed a new generation of scientific and engineering computing software, has become the world' s most widely used one of the most popular software. With the growing popularity of the software applications, user demand for its animation capabilities are constantly increasing. This paper introduces the program is implemented in MATLAB animation, Flash animation and video animation and other effects of the method. Highly targeted, representative and practical.)

this document shows method of simulating of three-phase Inverter

farrow滤波器测试实例，包括线性和多项式farrow结构比较，幅度相位比较，以及分数延迟可变的farrow结构(farrow filter testing procedures, structures and linear polynomial farrow farrow structure comparison, fractional delay variable farrow structure instance.)

利用matlab的simulink工具进行最优化的设计，谢谢(Presentation and demo files for MathWorks webinar "Introduction to Simulink Design Optimization)

说明：  做生成数(使用0.1做因子),之后13年的数据按统计方法标准化后输入,训练,仿真,对比结果。这个过程相当于插值计算(Generated to do a few (make use of 0.1 factor), after 13 years of data input after the standardization of statistical methods, training, simulation, comparing the results. This process is equivalent to interpolation calculation)

对电网不平衡情况下的三相PWM整流器进行了详细的建模分析，并在此基础上研究了两种不平衡控制策略。其一是抑制网侧负序电流的控制策略，主要控制三相PWM整流器交流电流对称正弦化控制。其二是抑制直流电压谐波分量的控制策略，主要控制三相PWM整流器从电网吸收平衡的瞬时功率，消除直流电压中的各次谐波分量。(Research on the Control strategy of Three-Phase PWM Rectifiers under Unbalaneed Grid Voltage)

piv测速的matlab代码的说明和解释，此为流场piv测速的开源代码的具体说明(piv Speed of matlab code, instructions and explanations, this is the velocity flow field piv specification of open source code)

Optimization Techniques

本算法可以用于 多因变量和但因变量 的pls 回归(The algorithm can be used for multi-variable and because pls but variable regression)