laomang

用matlab实现的boosts开关变换器的仿真图，一共四幅图，对于学习非线性电路的同学有用(Matlab achieved by switching converter boosts the simulation map, a total of four maps, non-linear circuit for the students to learn useful)

经典的最小互信息量ICA算法，Informax算法，值得下载(Minimum Mutual Information ICA algorithm, it is worth the download. .)

ofdm发送端和接收端，根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。(ofdm sending end and receiving end, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives.)

MOBILE TELE COMMUNICATION

matlab遗传算法程序，可用于最优化问题求解，遗传算法功能非常强大(Matlab genetic algorithm procedure, can be used to solve the optimization problem, genetic algorithm is very powerful)

使用matlab 语言添加噪声，matlab中具有专门的添加各种噪声的函数。(use the language of matlab to add noise to image.)

rds: IR scene generation, MATLAB, Simulink, Countermeasure, IR Seeker, .... separation distance between the source and sensor through the duration of the simulation. .... rate of the line of sight angles from the IR imaging missile to the

实现TD SCDMA传输信道仿真，包括传输信道编码和译码，程序可以运行(Achieve TD SCDMA transmission channel simulation, including the transmission channel encoding and decoding, the program can run)

this file is dtc for pmsm machine with simulink matlab, 12 sector

The paper deals with the fuzzy control of a wastewater treatment process in which the organic substances are removed. The process is treated as a multivariable process having as control inputs the dilution rate, the aeration rate and the recycling rate and as output variables the dissolved oxygen and the substrate concentrations in the effluent. The process sensitivities with respect to the control inputs in the case of indirect control through the control of dissolved oxygen concentration and of the direct control of substrate were studied. In all cases fuzzy controllers were used. It was also shown that fuzzy control provides good results in the presence of disturbances and parametric uncertainties of the model.