Root-locus-correction

MATLAB程序设计微分方程算法教程MATLAB程序设计微分方程算法教程(MATLAB Tutorial MATLAB programming algorithm Differential Equations Algorithm Programming Guide)

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该程序主要是完成MSK的调制这样的一个过程。(The program mainly completes the process of modulation of MSK.)

matlab课程编程【谷速软件】matlab从图像中提取字母(matlab programming course speed [Valley] matlab software to extract letters the image)

matlab变成实现prony算法，自动提取符合信号中分量的频率、幅值、相位、衰减系数等参数，可以实现数据拟合(matlab become realized prony algorithms automatically extract the parameters frequency, amplitude, phase, in line with the signal attenuation coefficient component, you can achieve data fitting)

Robust control design for square signal in a transfer untion and show the behavior of the system

说明：  matlab经典算法，大家支持一下，很有用的啊，哈哈哈(matlab classical algorithm, we support the look, very useful ah, ha ha ha)

least square system identification

《MATLAB神经网络30个案例分析》中的第13个例子，案例13 SVM神经网络中的参数优化---提升分类器性能。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 13 cases of 13 SVM parameters optimization of neural network classifier performance- ascension. Hope to have certain help to everybody! )

The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorithm by assuming:[1] All fireflies are unisexual, so that one firefly will be attracted to all other fireflies Attractiveness is proportional to their brightness, and for any two fireflies, the less bright one will be attracted by (and thus move to) the brighter one however, the brightness can decrease as their distance increases If there are no fireflies brighter than a given firefly, it will move randomly. The brightness should be associated with the objective function. Firefly algorithm is a nature-inspired metaheuristic optimization algorithm.