GPSPS2

bOUCLE DE VITESSE DE LA PMSM VITE FAIT

one round wireless sensor network

这是一个基于二阶统计特性的MIMO系统盲辩识!大家多多的互相交流哦!(this is a second-order based on the statistical characteristics of MIMO Blind Identification System! Members can exchange the Oh!)

代码用于实现回声消除，用递归最小二乘算法（RLS）实现声学回声消除(AEC Code for echo cancellation, acoustic echo cancellation with recursive least squares algorithm (RLS))

说明：  运用卡尔曼滤波器来进行目标跟踪,运动状态是线性的(kalman filter)

基于鱼群算法的椭圆检测，对于一组随机的椭圆点，可以得到椭圆参数，检测精度高。(Ellipse detection algorithm based on fish, for a group of random ellipse point, the parameters can be oval, high detection accuracy.)

DFIG的电网侧变换器模型，内含可以设置的理想电网电压正弦波(Over grid voltage sine wave DFIG grid side converter model, you can set the contents of)

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 )

本文件含有关于matlab学习的资料，适用于初学者(This document contains information on learning matlab for beginners)

spxy分样本程序，可以对分析样本进行分类，建立预测模型(spxy algorithm to classify sample)