Matlab-wusunbianjiema

matlab/simulink建的混合动力汽车制动回馈数学模型。可以根据速度与soc的大小判断是否进行回馈(Matlab/Simulink to build hybrid vehicles braking feedback mathematical model. According to the size of the judgment of the speed with the soc feedback)

基于局部图划分的多相活动轮廓图像分割模型，很好的一篇文章(Partitioning and based on local image multi-phase active contour segmentation model, very good article)

有关可变码长的LDPC编码电路的设计与实现和一些相关的英文资料以及文献(LDPC)

构建混沌神经网络进行负荷预测，输出负荷预测值及其与实测值的误差(Chaotic neural network)

MATLAB的图形界面GUI设计实现课程设计中的zTCSVg编码算法，并仿真qCtfLsf参数在不同条件下的误码率性能曲线，与现有算法对比，性能良好，界面友好。 (MATLAB graphical interface GUI design and implementation of curriculum design zTCSVg coding algorithm and simulation qCtfLsf parameters BER performance curve under different conditions, and existing algorithms contrast, good performance, friendly interface. )

说明：  在阵列信号处理里，估计信号来波方向的程序(In array signal processing, the estimated signal DOA procedures)

关于MATLAB与双馈风机接口计算智能算法(About MATLAB and DFIG computational intelligence algorithms Interface)

8 Point FFT using Matlab Simulink

分析了正弦信号分辨率问题，当采样频率相同时，点数越多，分辨率越高，频谱特性误差越小( Analysis the problem of resolution in a sinusoidal signal.When the sampling frequency is the same, the more points,the higher the resolution,and the error spectral characteristic is smaller.)

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 .)