cost_flow

滑模变结构控制MATLAB仿真,清华大学出版社(Sliding mode variable structure control MATLAB, the tsinghua university press )

用kmeans初始化em算法，并用高斯回归进行拟合，用于图想的聚类(Kmeans initialization using EM algorithm, and the use of Gauss regression fitting, used to map the clusterin)

由2个麦克风组成的麦克风阵列，画出它的方向图(Microphone arrays of the two microphones, shown in Fig its direction)

说明：  在MATLAB仿真环境下，通过一具体例子对OFDM系统的的模拟仿真实现(In the MATLAB simulation environment, through a concrete example of the OFDM system simulation Simulation)

读取一个图像，然后对这个图像进行菲涅尔衍射，最终得到衍射图(Reads an image, and then the image is Fresnel diffraction, finally obtained diffraction pattern)

是关于HCM和FCM的图像分割效果比较的matlab源代码程序，有比较的结果。(It is about image segmentation comparison based on HCM and FCM, a matlab code. )

matlab 通信原理 sa函数波形仿真 周期矩形脉冲幅度谱 含源码(sa communication theory matlab function waveform simulation cycle rectangular pulse amplitude spectrum including source code)

matlab code for balloon model fMRI

计算赫斯特指数Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.(Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.)

lab of antenna how it performs