matlab-fenge

K-Means聚类算法 Matlab代码(K-Means)

Principal Components Analysis (PCA) is used to compress data in such a way that the least information is lost. It does so by truncating data and thereby leaving out the data which is of the least importance to the information stored in the data. This PCA process is called dimensionality reduction,

教你怎么从入门到掌握MATLAB的使用。浅显易懂的实例(Teach you how from beginning to master the use of MATLAB. Easy to understand examples)

说明：  mat lab designed filter

编写的重构程序中，为了比较分解图像和重构图像，首先绘出经过小波分解的图像，然后再进行重构。(Prepared by the reconstruction program, in order to compare the decompose image and image reconstruction, first drawn by Wavelet Decomposition of an image and then refactor.)

some notes abou svd in matlab functions

channel estimation with stbc using matlab for communication students

OFDM系统中PAPR抑制（使用SLM方法）(PAPR reduction in OFDM systems)

利用随机因子法计算旋转杆滑块系统随机性的问题(computing the probablity of multibody system by the random method)

SVPWM是近年发展的一种比较新颖的控制方法，是由三相功率逆变器的六个功率开关元件组成的特定开关模式产生的脉宽调制波，能够使输出电流波形尽可能接近于理想的正弦波形。空间电压矢量PWM与传统的正弦PWM不同，它是从三相输出电压的整体效果出发，着眼于如何使电机获得理想圆形磁链轨迹。SVPWM技术与SPWM相比较，绕组电流波形的谐波成分小，使得电机转矩脉动降低，旋转磁场更逼近圆形，而且使直流母线电压的利用率有了很大提高，且更易于实现数字化。(SVPWM is a novel control method developed in recent years. It is a pulse width modulation wave generated by a specific switching mode consisting of six power switching elements of three-phase power inverters, which can make the output current waveform as close as possible to the ideal sinusoidal waveform. Space voltage vector PWM is different from traditional sinusoidal PWM. It is based on the overall effect of three-phase output voltage, focusing on how to obtain the ideal circular flux trajectory of the motor. Compared with SPWM, the harmonic component of winding current waveform is smaller, which reduces the torque ripple of motor, makes the rotating magnetic field more close to the circle, and improves the utilization ratio of DC bus voltage greatly, and makes it easier to realize digitization.)