FULTTER-COM

一个详细的matlab设计鲁棒控制器的例程，有设计过程和相应的代码积分析，学习鲁棒控制的好的入门资料。(A detailed design of robust controller matlab routines, there is the design process and the corresponding code plot analysis, to study the robust control of a good introductory information.)

说明：  在Matlab环境下显示运动图像，可直接进行视频文件的读取(in Matlab environment Moving Image shows, video files directly to the reader)

This file is about OFDM Channel Estimation Based on Comb Pilot.

实现LS信道估计的SER计算和MSE计算(LS channel estimation achieve SER calculation and MSE calculations)

无线传感器网络在不同节点数量下，连通率与通信半径的关系，利用蒙特卡洛方法仿真1000次(Relations between communications radiusand connectivity rate in WSN)

MDCT s program. Can be used with matlab software. Easy to compilate.

Advanced correlation filter synthesis algorithms to achieve rotation invariance are described. We use a specified form for the filter as the rotation invariance constraint and derive a general closed-form solution for a multiclass rotation-invariant filter that can recognize a number of different objects. By requiring the filter to minimize the average correlation plane energy, we produce a multiclass rotation invariant (RI) RI-MACE filter, which controls correlation plane sidelobes and improves discrimination against false targets. To improve noise performance, we require the filter to minimize a weighted sum of correlation plane signal and noise energy. Initial test results of all filters are provided

一个用matlab来实现的最小均方误差的学习曲线，在不同u值下(Using matlab to achieve the minimum mean square error learning curve, different values ​ ​ of u )

自适应粒子群算法，自适应粒子群算法，在普通的粒子群算法里面加入了熵和平均粒距的概念，收敛速度大大提高，而且不容易陷入局部最优，能更有效的解决复杂问题。(Adaptive particle swarm algorithm, adaptive particle swarm optimization, in which ordinary PSO joined the entropy and the concept of average distance, speed up the convergence, but not easy to fall into local optimum, more effective solutions to complex problems.)

用Ziegler--Nichols整定公式来求P,PI,PID的个参数，其中Gc是校正器的传递函数,kp为比例系数， Ti为积分时间常数，Td为微分时间常数，输入参量vars为带迟滞--惯性环节模型的KT τ(With Ziegler- Nichols tuning formula to seek P, PI, PID' s parameters, which Gc is the corrector transfer function, kp is proportional coefficient, Ti the integral time constant, Td for the differential time constant, input parameters vars as with hysteresis- inertia model of the KT τ)