SVM Regression & BP ANN

一种用于谐波分析的重采样方法，同过matlab仿真实现(For the resampling method of harmonic analysis, Matlab simulation to achieve the same over)

在雷达成像中所用到的多普勒质心估计，用idl语言编写(In radar imaging is used in the Doppler centroid is estimated using idl languages)

一个OFDM的仿真代码，可以直接在ＭＡＴＬＡＢＡ上运行(an OFDM simulation code can be directly operated in MATLABA)

Matlab程序设计书籍中的源代码，希望对大家都有用。(the source code of the Matlab program )

虹膜图像滤波，高斯滤波器，低通滤波器，巴特沃斯滤波器等(Iris image filtering, Gaussian filter, low pass filter, Butterworth filter, etc.)

HSQARKH 完整源码，这只是一个初步代码,用来实现ARK,做隐藏方面研究的. (HSQARKH complete source code, this is just a preliminary code that is used to achieve ARK, so hidden aspects of the study.)

SAPF model matlab simulink model

用MATLAB实现神经网络BP算法。思路比较清晰，大家可以作为参考。(MATLAB neural network with BP algorithm to achieve. Ideas clearer, we can serve as a reference.)

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. (The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.)

matlb simulink program file