LFM_xcorr

matlab code for configuration

利用matlab自带的fisheriris数据集（为了可视化将其看成两类）（setosa类和非setosa类）测试svm(test the svmtrain and svmslassify functions by the fisheriris by the matlab software)

交流位置伺服系统因其存在参数时变、负载扰动以及电机的非线性等缺点， 很难为其建立准确的模型. 模糊（ fuzzy）控制具有无需建立被控对象的数学模型、鲁棒性好等 优点，但稳态精度差. 将模糊控制和PID 控制相结合，设计了Fuzzy-PID 双模控制器. 在论域内 用不同的控制方式分段实现控制，这样就综合了模糊控制和PID 控制的优点，克服了各自的缺 点. 该控制器结构简单、易于实现. 在半闭环交流位置伺服系统上所做的实验表明，采用Fuzzy- PID 双模控制器与采用经典PID 控制器相比，阶跃响应的调整时间减少了33. 7 ，并且无超 调，轨迹跟踪误差减小了47. 2 .(AC servo system because of the presence of parameter variations, load disturbances and non-linear motors and other shortcomings, it is difficult to establish accurate models for fuzzy (fuzzy) control without having to build a mathematical model of controlled object, robustness and good However, steady-state accuracy is poor. fuzzy control and PID control are combined to design a dual-mode Fuzzy-PID controller in the sub-region to achieve control on the different control methods, so that a combination of fuzzy control and PID control advantages to overcome their disadvantages. simply the controller structure, easy to implement. experiments on semi-closed loop AC servo system did show that the Fuzzy-PID controller is compared with the classic dual-mode PID controller, step response The adjustment time is reduced by 33.7 , and no overshoot, tracking error is reduced 47.2 .)

说明：  滑模控制，基于速度环的控制改进算法，滑模控制是变结构控制，又是非线性控制算法，应用于电机领域(Sliding mode control is an improved control algorithm based on speed loop. Sliding mode control is a variable structure control and a non-linear control algorithm, which is applied in the field of motor)

matlab编程实例,主要设计事项,请大家咄咄指教,希望大家多交流,(Matlab programming examples, the major design issues, please enlighten aggressiveness, we hope that more exchanges,)

使用matlab实现最小二乘算法，计算测量的待定点的精度(Using matlab to achieve least-squares algorithm to calculate the accuracy of measurement points to be determined)

说明：  3D分形维数计算，Box-counting算法和MinkowskiMethod算法(Fractal dimension,Box-counting and MinkowskiMethod)

BPSK在高斯白噪声信道下的误码率分析及其实现(BPSK in Gaussian white noise channel BER Analysis and Implementation)

matlab file newly created

匹配滤波器实现过程、智能天线波束形成算法改进、旁瓣对消实验仿真(Matched filter implementation, smart antenna beamforming algorithm improved sidelobe cancellation simulation experiment)