matlabcoding

利用MATLAB仿真设计的补偿器，仿真效果好是第一步，接下来还应该带入到实验数据中分析补偿器的效果对动态性能指标的改善情况。该程序作用：验证各种实验数据输入下，性能指标的改善(Using MATLAB simulation of the compensator design, simulation is the first step to good effect, then should also be brought to the experimental data analysis of the effect of compensator on dynamic performance targets to improve the situation. The role of the program: to verify the importation of a variety of experimental data, the performance indicators to improve)

滑模积分控制器，适合学习滑模控制的人员学习，代码可以直接运行。(Sliding mode integral controller is suitable for studying the learning of sliding mode control, and the code can run directly.)

说明：  实现了系统辨识的算法，Matlab实现了产生一均值为0，方差为1的噪声，给出系统辨识的效果。(To achieve the system identification algorithm, Matlab realized generated a mean 0 and variance of a noise, the effect of system identification is given.)

是一个关于 二维水质模型可视化方面的资料(Is a two-dimensional water quality model on data visualization)

Poincare截面的matlab程序实现(Poincare section of the matlab program to achieve)

QPSK调制后产生QPSK信号，QPSK信号分别通过AWGN信道、Rayleigh衰减信道和Rician衰减信道，分别通过QPSK解调出数字信号，通过输入与输出数字信号的对比计算出仿真过程中的传输误比率，并将其与各衰减信道的理论误比率进行对比(Generate QPSK signal QPSK modulation, QPSK signals through AWGN channel, Rayleigh fading channel and Rician fading channel, respectively, through the QPSK demodulation of digital signals by comparing input and output digital signals to calculate the simulation process of transmission error rate, and to compare with the theoretical error rate for each decay channel)

matlab经典算法,大家有时间可以看看！！ 自己也没时间看！(matlab classic algorithms, everyone has time to look at! ! Themselves did not have time to read!)

2010年最新的图像感知区域检测的源代码，发表于SCI国际刊物(saliency detection in image)

小规模OPF计算程序（by FX），中间给出14节点测试系统，缺点计算时间较长（初学者想下点高手的源代码学习学习）(Small-scale OPF calculation program (by FX), in the middle gives a 14-node test system, the disadvantage of longer computing time (beginners would like to point master source code to learn from))

在扩频序列中的产生M序列，用MATLAB来产生此序列(In spread spectrum sequence generation M series, to generate this sequence using MATLAB)