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该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能， getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器 makeBarFilters.m：助手为高斯函数的二阶导数滤波器 sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images. Please cite the following paper if you find this code useful: Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 http://seas.harvard.edu/~rkkumar radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters makeBarFilters.m : Helper function for Gaussian Second Derivative Filters sample.png : Sample image for use in this demo )

一种基于网络节点距离（节点间RTT值），将节点动态的划分在相应的聚类内，每个聚类有一个中心节点，其成员节点到它的距离不超过某一设定值(A network node based on distance (inter-node RTT value), the delineation of the dynamic nodes in the corresponding cluster, each cluster has a central node, the node of its members to its distance does not exceed a set value)

说明：  正交频分复用的调制解调：实现了mb-ofdm的基带超宽带信号调制解调(Orthogonal frequency division multiplexing of the modulation and demodulation: the mb-ofdm of base-band ultra-wideband signal modulation and demodulation)

复杂网络小世界模型，模拟小世界模型 复杂网络小世界模型，模拟小世界模型(he parameter of the small-world model The total number of the network The mean degree is 2*m The remove probability The connection matrix The initial regular network)

运用matlab编程实现AR模型的定阶问题(AR model order)

QR分解SMI算法的目的正是要避免直接来解线性方程，而是将自相关矩阵分解，并利用Givens旋转实现数据矩阵的QR分解，最终将权矢量的求解问题转化为三角线性方程组的求解问题。(QR decomposition SMI algorithm, whose objective it is to avoid directly to solution of linear equations, but will auto-correlation matrix decomposition, and the use of Givens rotation implementation of the QR decomposition of data matrix, the weight vector will eventually solve the problem into a triangular system of linear equations solving the problem.)

采用matlab工作环境，利用Thompson Tau进行异常值剔除(Remove outliers from data using the Thompson Tau method.)

例3：分析占空比为ta的矩形脉冲频谱 T=1 时间窗大小 ta=0.5 占空比 N=256 t=linspace(-T,T,N) ts=2*T/N fs=1/ts (x=zeros(1,N) x(N/2-round(N/2*ta):N/2+round(N/2*ta))=ones(1,2*round(N/2*ta)+1) y=fft(x,N) figure plot(t,x) title([ 时域信号图 占空比为 ,num2str(ta)]) axis([-T T-0.2 1.2]) xlabel( t /s ) figure subplot(211) f=linspace(-fs/2,fs/2,N) plot(f,abs(fftshift(y))/N) title([ 矩形脉冲双边谱 脉冲时间t=[- ,num2str(ta*T), , ,num2str(ta*T), ] ]) xlabel( f /Hz ) )

The optimal tire force distribution to maximize acceleration/deceleration of a four-wheel vehicle during cornering is studied

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