WVDist_thfeng

this is about pattern recognition.

DIFG风电场的建模仿真包括了多种风速条件下的测试和应用，重点研究扰动风速对电网和风电场本身的影响。(DIFG wind farm modeling and simulation )

最小二乘支持向量机，采用matlab编写，可以直接使用，SVM是经典的分类和预测算法。(Squares support vector machine, using matlab prepared, can be used directly, SVM is the classic classification and prediction algorithms.)

function y=myditfft(x) 《数字信号处理教程——MATLAB释义与实现》 用MATLAB语言编写的基2 DIT FFT子程序(function y = myditfft (x) " digital signal processing tutorial- MATLAB Interpretation and Implementation" MATLAB language with the base 2 DIT FFT Subroutine)

Compute the signal power

我用的实现图像分水岭分割的代码！感觉还可以，要用的自己拿去改改(I use the watershed segmentation of image code!)

k-means matlab code full

In computing, the kernel is the main component of most computer operating systems it is a bridge between applications and the actual data processing done at the hardware level. The kernel s responsibilities include managing the system s resources (the communication between hardware and software components).[1] Usually as a basic component of an operating system, a kernel can provide the lowest-level abstraction layer for the resources (especially processors and I/O devices) that application software must control to perform its function. It typically makes these facilities available to application processes through inter-process communication mechanisms and system calls.

基于stretch处理的雷达抗距离-速度同步欺骗干扰的仿真(Based on stretch processing of radar distance- speed deception jamming in the simulation)

A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.