BCO

Hough transform to detect lines

image Fourier transform

最小二乘法辨识 对系统输入伪随即序列输入，得到输出， 加入噪声，模拟辨识过程(least squares method for identification system importing counterfeit immediately sequence input and output is, by adding noise to simulate the process of identification)

频谱感知算法，包含了最基本的感知算法，能量检测、循环平稳检测(Spectrum sensing algorithm contains the most basic perception algorithms, energy detection, cyclostationary detection)

Gemesa_E-diagram Gemesa_E-diagram Gemesa_E-diagram

本程序对语音信号加上不同长度的汉明窗，研究不同的窗长对语音信号的自相关函数的影响(Hamming window, the application on the speech signal plus different lengths study different window length of the autocorrelation function of the speech signal)

AngularJS权威教程,前端开发利器。 AngularJS权威教程目前最火的前端开发技术(AngularJS authority tutorials, front-end development tool. AngularJS authoritative guide front-end development is currently the hottest technology)

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 )

将检测数据常用的.lvm格式读取到workspace的matlab程序(Load lvm files)

解线性方程组之直接法【matlab例程】经典算法直接应用方便快捷(Convenient and direct method for solving linear equations of the [routine] classical algorithm matlab direct application)