wavelet_pspace

Mysmo.mdl 永磁同步电机的主程序，可以实现有速度传感器启动运行，和无速度传感器运行。 SMOmodel.m 改进的滑模观测器模型，实现永磁同步电机反电动势的估算。 PFCDCM0hm5 用的是0.5hm的电感，实现220V交流电变换成400V的直流电，电流断续。 由于是仿真，如果要硬件实现的话，除了需要电压采样外，还需要一个输入电压过零检测 PFCCM320percent98k50 用的是5hm的电感，实现220V交流电变换成320V的直流电，电流连续。功率因数可以达到0.98，用的开关频率为50K PFCCM400percent97k50.mdl 用的是5hm的电感，实现220V交流电变换成400V的直流电，电流连续。功率因数可以达到0.97，用的开关频率为50K (Permanent magnet synchronous motor Mysmo.mdl main program, you can achieve the speed sensor up and running, and speed sensors run. SMOmodel.m improved sliding mode observer model permanent magnet synchronous motor back-EMF estimates. PFCDCM0hm5 with is 0.5hm inductor to achieve 220V AC transform into a 400V DC current is interrupted. As the simulation, hardware implementation, then, in addition to the voltage sampling an input voltage over zero detection PFCCM320percent98k50 the is 5hm inductance to achieve transformation 220V AC 320V DC continuous current. The power factor can reach 0.98, the switching frequency for 50K PFCCM400percent97k50.mdl with is 5hm inductance 220V AC transform 400V DC continuous current. The power factor can reach 0.97, with the switching frequency is 50K)

MATLAB图像编程设计图像熵源码程序Programming MATLAB image image entropy source program(Programming MATLAB image image entropy source program Programming MATLAB image image entropy source program)

这是一个齿轮设计的软件,设计齿轮的参数全部动算出.(This is a gear design software, design parameters calculated move all the gear.)

finger print segmentation,基于matlab，无需修改，直接可用

Multi-class Coding (adapted from from LS-SVM for SPIDER). Encode (code_MOC, code_ECOC, code_OneVsAll, code_OneVsOns) and decode (codedist_hamming, codedist_bay) a multi-class classification task into multiple binary classifiers.

epsilon greedy action selec

这是基于观测器的DMC算法，可以和GPC算法进行比较，控制效果不输GPC算法(This is the DMC algorithm based on observer , and it can be compared with GPC algorithm ,it s control effect is better than GPC algorithm)

许小可的这几篇文章也很有用的，对我来说，希望对其他朋友也有所帮助！谢谢！(Hsu Hsiao Ke these articles are useful, for me, other friends want to help! Thank you!)

说明：  image enhancement using neural network

64 QAM final modulation