dmtteq

jmag和matlab与psim联合仿真的教程，内容非常详细，英文版的，国内资料非常少。(Jmag and MATLAB and PSIM co simulation tutorial, the content is very detailed, the English version of the domestic information is very small. )

层次分析法，直接可以用的matlab程序，包含两个文件(AHP)

很全面的图像处理介绍，特别之处在于，此书包括拉冬变换的讲解(Very comprehensive image processing introduction, is unique in that, this book includes explanations Radon transform)

microprocessor basic theory

MATLAB FTC有限元方法解方程组，可用于解偏微分方程组中的热传导方程(MATLAB FTCS finite method)

TabBarCustom (所有TabBar之间切换)，精选ios编程学习源码，很好的参考资料。(TabBarCustom (switching between all TabBar), selection of learning IOS programming source code, a good reference.)

matlab课件，很好的，已经看过了，非常不错，大家想学的看看(matlab)

根据已有的二维波束成型进行功率分配后的曲线和阈值距离(about the 2d-beamforming of power loading and threshold distance )

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 )

通过fir1设计FIR滤波器，fir2设计任意频率响应的滤波器，采用卷积计算信号通过系统后响应（还原），采用fftfilt计算信号通过系统后响应，一个长序列和一个短序列的卷积。(Fir1 through FIR filter design, fir2 design the frequency response of any filter, the use of convolution calculation of the signal through the system to respond to (restore), calculated using fftfilt signal through the system to respond to, a long sequence and a short sequence of convolution.)