ybyxpjf

Scource for Induction Motor Scalar Control

matlab代码，低回声图像的边缘提取处理(matlab code, low-echo images of the edge extraction processing)

基于标准遗传算法的图像分割，运用遗传算法确定阈值。是matlab源码。(Standard genetic algorithm-based image segmentation, the use of genetic algorithms to determine the threshold. Matlab source code.)

在matlab环境下的二维双曲型和抛物型偏微分方程的数值解法(Matlab environment in two-dimensional hyperbolic and parabolic partial differential equations numerical solution)

用matlab编写的SCME空间信道模型，可以用于移动通信中SCME的空间信道模型，可直接下载后应用(Using matlab written SCME space channel models can be used in mobile communications SCME space channel models can be downloaded directly after the application of)

弹簧的matlab/simulink仿真模型，包括GUI可视化操作界面GUI的程序(Spring matlab/simulink simulation model, including the GUI visualization GUI interface program)

Modern Periodic Table Project in C. The Modern Periodic Table project in C is a simple console application built without the use of graphics. It is developed using the C programming language for the purpose of storing name, symbol, atomic number, atomic weight, and some important properties as well as to display them as per requirement of the user. The source code for this project is complete and totally error free, and we warmly welcome any feedbacks and suggestions.

Windpower technology dates back many centuries. There are historical claims that wind machines which harness the power of the wind date back beyond the time of the ancient Egyptians. Hero of Alexandria used a simple windmill to power an organ whilst the Babylonian emperor, Hammurabi, used windmills for an ambitious irrigation project as early as the 17th century BC.

原上载过一个LMSTDE，适用于两个信号在时域上不重叠，而本程序的两个信号在时域上重叠的，并以正弦波作为例子加以说明，求出延迟时间。(The original upload a LMSTDE, apply to the two signals, which in the time domain do not overlap, and this process two signals are overlapped in time domain and a sine signal as an example, is calculated for delay time.)

本程序是主成分分析，可以解决几个几个输入之间的相关性，能够提取出多输入的主成分(This program is the principal component analysis can solve several several input correlation between the principal components can be extracted multiple input)