banbozhenzi

说明：  Matlab时频分析技术及其应用中的源代码(Matlab time-frequency analysis technology and its application in source code)

说明：  神经网络算法应用广泛，该算法在智能控制和统计预测中用的最多，是智能算法中的一大经典。 (Widely used neural network algorithm, the algorithm in intelligent control and statistical forecasts using the most, is the smart one of the major classical algorithm.)

this is a book and its source code

naive bayes classification with matlab

fire detection using neural network

能够很好的实现hilbert变化，结果和matlab基本一样，很实用(it Can very good realize Hilbert change, results and matlab are basic and same, very practical )

Spectral analysis and correlation of stochastic discrete signals

SVPWM (space vector pulse width modulation)

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 )

说明：  通信系统仿真与分析中经常用到的高斯白噪声的产生方法(Communication System Simulation and Analysis in the frequently used Gaussian white noise, the method of)