Axingsanwei

线性调频信号的灵巧噪声卷积干扰matlab实现(Chirp signal dexterity the noise convolution interference matlab achieved)

CFAR的matlab实现，效果十分好，不信请试试(CFAR' s matlab achieve)

this is for Korean and kind of signal processing.

师兄的人工势场法避障实验代码，绝对好用，代码精炼，注释全(Brother of artificial potential field obstacle avoidance test code, absolutely everything, code refining, notes the whole)

利用matlab程序计算一维光子晶体的周期层数对折射率和透射率的影响(Cycle matlab program to calculate the one-dimensional photonic crystal layer refractive index and transmittance)

一种基于软划分方法的聚类方法——模糊k均值法聚类分析。(A division of methods based on soft clustering method- fuzzy k-means cluster analysis.)

matlab voicebox工具箱 函数比较全 版主多给点分吧(matlab voicebox toolbox function more and more to the point of total sub-Bar Moderator)

C++ Primer Plus, Fourth Edition presents the ANSI C++ standard beginning with a discussion of the essential elements of C++ programming: loops, expressions, functions, and classes. It walks readers through the basics of object-oriented programming: classes, inheritance, templates, and exceptions, as well as the latest object-oriented programming techniques. C++ Primer Plus contains hundreds of sample programs. The friendly tone, concise programs, and end-of-chapter review exercises allow beginners to write their own programs immediately.

svm and matlab code

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.)