gradproj

Matlab和VC混合编程，VC6.0工程设置，图文介绍很详细，在Matlab和VC混合编程中，这一步设置非常重要(Matlab and VC hybrid programming, VC6.0 engineering settings, graphic description is very detailed and hybrid programming in Matlab and VC, this step is quite important)

转载资料， 从文字件1到2，双行。非常有趣，值得一试。(To read line from file1.txt and write (double space) to file2.txt)

实验四 模拟页式虚拟地址转换和缺页中断 实验报告(Experimental four-page simulation and virtual address translation page fault test report)

通过MATLAB编程实现经典名曲《卡农》的播放，非常有意思的代码(Through MATLAB programming classics " Canon" play, very interesting code)

说明：  灰色系统的matlab程序原代码，可用以对数据建立方程，进行预测(Gray system matlab program source code, the data used to establish equations to predict)

用ADS和matlab进行了PLL的仿真实现，对与PLL的学习有一定的作用(Carried out with the ADS and the PLL matlab simulation realization, and the PLL has a role in learning)

Its alamouti code calculating BER performance.

Implementation of an AVL tree using C. A data structure type.

说明：  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.)

说明：  讲述谐波检测的方法，利用小波变换的方法检测突变点(About the harmonic detection method using wavelet transform to detect mutations)