New-Microsoft-Word-Document

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 )

cornell大学一篇关于OFDM仿真的论文（含matlab程序）(cornell University, a paper on the OFDM simulation (with matlab program))

利用小波变换将信号中的各频率分开，得到低频信号和高频信号(Wavelet transform of the frequency of the signal separated by low-frequency signal and high frequency signals)

WAVELET IMAGE USING MATLAB

改程序为matlab中自定义函数，并保存为变量等进行进一步操作做了简要编译，适用于初学者学习，方便(The program for matlab custom function, and save for variables for further operation do a brief compilation, it is suitable for beginners to learn, convenient)

信号的FFT变换、经典功率谱分析和现代功率谱分析，周期图法、尤利沃克方法、burg方法、协方差和改进协方差方法(Signal FFT transform, the classic power spectrum analysis and modern power spectrum analysis and periodogram method, method of Julius walker, burg, covariance and the covariance improvement method)

二维通道层流，matlab实现，格子玻尔兹曼方法(Simple, yet simplistic, Lattice Boltzmann (LB) MATLAB implementation. D2H9, BGK, omega = 1, laminar flow in a 2D channel used as benchmark.)

对小波系数的s变换，t＋s变换，以及变换系数的规范化(of wavelet transform coefficient s, t+ s transformation, and the standardization of transform coefficients)

NPC inverter with pwm

A progress bar in a single line of code with ETA