random_networks

Field Antenna Handbook

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)

Huffman encoding and decoding using matlab. Very complete as a education level.

蒙特卡罗算法在matlab中的应用，很好的材料(Monte Carlo algorithm in matlab)

说明：  this doc of software defined radio for beginners

kalman滤波的matlab程序，里面是源程序(kalman filter matlab program)

将MATLAB模型下的永磁同步电机矢量控制，导出C语言程序到CCS开发环境中，从而实现MATLAB和CCS对电机控制。(MATLAB model of permanent magnet synchronous motor vector control, export the C language program to the CCS development environment, enabling MATLAB and CCS motor control.)

是matlab产生一个高斯脉冲的程序，并且叠加了高斯噪声，可以画出输入与输出的图形，并且对其时延进行了估计(Is the matlab produce a gaussian pulse program, and stack the gaussian noise, can draw the input and output of the graphics, and the time delay were estimated )

信号与系统的MATLAB仿真实例，已在matlab6.5版本调试通过。(MATLAB simulation of signal and system, has been through debugging in MATLAB6.5 version.)

关于matlab边缘检测算法，在vc++6.0环境中使用，很好用的，共同学习(Edge detection algorithm on matlab in vc++ 6.0 environment, a good use, learning together)