PowerMarker-V3.25

说明：  matlab的代码关于fft的仿真程序,直接的出波(fft matlab code on the emulator, directly from the waveform)

单神经元PID解耦控制程序,解耦算法例子以活套系统为传递函数。(Single Neural Net PID Decouple Controller based on Hebb Learning )

The system is fully preemptible when this function is called. The kernel does no processing, but it passes all parameters directly to the function supplied by you. （当这个函数被调用的时候系统完全可能被抢占，内核没有处理，直接传递参数到你提供的函数。这个我觉得说的很别扭，估计是直接传递参数到OEMIoControl ）(The system is fully preemptible when this function is called The the kernel does no processing, but it passes are all the parameters directly to the function are supplied by you (When this function is called when the system is entirely possible to seize the kernel did not deal directly pass parameters to the function you provide. I think that is very awkward, and is estimated to pass parameters directly to OEMIoControl))

digital phase unwrapping using matlab

This example solves a 2nd order wave equation: utt = uxx + uyy, with u = 0 on the boundaries. It uses a 2nd order central finite difference in time and a Chebyshev spectral method in space (using FFT). It compares to running the same algorithm on the GPU using gpu-arrays and built-in functions available for the GPU.

雷达回波信号分析，对于雷达方向专业的初学者有借鉴经验，程序可读性比较好。(It useful for the new learner)

该控制算法为模糊控制器在机器人避障系统中的应用，是一个多输入多输出的控制系统，仿真结果和实际的运行结果比较符合。(The control algorithm for the Fuzzy Controller for Obstacle Avoidance System, is a multi-input multi-output control system, simulation results and actual operating results more in line.)

说明：  MATLAB 6.0高级应用：图形图像处理 附：MATLAB图像处理命令(MATLAB 6.0 Advanced Application: Graphic Image attached: MATLAB image processing commands)

MAXIM Security DVR System Architectures

In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base. The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using Genetic Algorithm. Simulations are done using Matlab software. Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,