logistic-map

这是基于matlab的卡尔曼滤波算法！在这里给大家分享下@(This is based on Kalman filtering algorithm matlab! Here to share with you the next @)

matlab script for ofdm system

电力系统经济负荷分配的matlab代码实现(Power system economic load allocation matlab code)

LTE下行链路发射分集仿真，仿真配置：16QAM调制、1/3码率Turbo编码、10MHz带宽、每个子帧一个PDCCH符号、单码字、8次迭代Turbo译码，每次处理1000万比特用户数据、早期终止机制、MMSE（最小均方误差）MIMO接收器，PDSCH发射端进行发射分集预编码。信道模型是LTE-MIMO信道附加AWGN信道。收发两端采用的双天线配置，天线相关性为中等。(LTE downlink transmit diversity simulation configuration: 16QAM modulation, 1/3 Turbo coding rate, 10MHz bandwidth of each sub-frame a PDCCH symbol, single code word, 8 iterations Turbo decoding, each processing 10 million bits of user data, early termination mechanisms, the MMSE (minimum mean square error) the MIMO receivers, a PDSCH transmitting terminal transmit diversity precoding. Channel model is LTE-MIMO channel additional AWGN. Dual antenna transceivers at both ends of the configuration, the antenna correlation is moderate.)

这是对Bayer图像进行差值还原彩色图像的MATLAB模型文件(This is a Bayer image to restore the margin of the MATLAB model of color image files)

题目：已知被控对象为 1/(10s+1)*exp(-0.5s)。假设系统给定为阶跃值r＝30，采样时间为0.5s，系统的初始值r(0)＝0。试分别设计： (1)常规的PID控制器； (2)常规的模糊控制器； 分别对上述2种控制器进行Matlab仿真，并比较控制效果 (Topic: Known charged object is 1/(10s+1)* exp (-0.5s). Assume that the system is given as the step value r = 30, the sampling time of 0.5s, the system the initial values ​ ​ of R (0) = 0. Trial were designed: (1) conventional PID controller (2) conventional fuzzy controller Matlab simulation of the two kinds of controllers, respectively, and compare the control effect)

描述船舶的旋回性，考虑风、浪、流的影响，利用MMG模型(Cyclicity description of the ship, consider the effect of wind, waves and currents, using MMG model)

单向晶闸管整流电路仿真模型，可参见电力电子教材(Unidirectional thyristor rectifier circuit simulation model can be found in power electronics textbooks)

灰色线性组合模型算法，可以实现该算法的建模，拟合以及预测(Grey linear combination model algorithm, the algorithm can be implemented for modeling, fitting and forecasting)

matlab实用例程百例，100个实用的MATLAB例程代码(matlab utility routines 100 cases, 100 practical routines MATLAB code)