sevensegment

解耦控制要求下的极点配置MATLAB算法。 关键词：解耦控制 极点配置 线性系统 MATLAB(A matlab algorithm of arbitrary pole- assignment in the sense of decoupli countrol)

本程序用于设定光谱通过FBG后在中心波长处的相位(The phase of the FBG at the center wavelength)

cao法求延迟时间和嵌入维数，有程序有图，很好用(cao method the delay time and the embedding dimension, there are procedures in FIG good use)

用matlab实现了数字信号处理中的多采样转换，并依此原理进行采样转换滤波器的设计。(matlab)

Jpeg algorithm is lossy compression algorithm can be used in matlab

本程序计算局部窗口的累积直方图，可用于驱动水平集和纹理分割( in this test program, we calculate the cumulative histogram in a local window centered at each pixel,this local cumulative histogram can be used to drive the level set for image and texture segmentation. Author: Associate Prof. Yuanquan Wang, Affiliation: Tianjin Key Lab of Intelligent Computing and Novel Software Technology, School of Computer Science, Tianjin University of Technology, Tianjin 300191, China 01/20/2008 Reference: 1. Tony Chan, Selim Esedoglu, and Kangyu Ni, Histogram Based Segmentation Using Wasserstein Distances, SSVM 2007, LNCS 4485, pp. 697–708, 2007. 2. Kangyu Ni, Xavier Bresson, Tony Chan, Selim Esedog, Local Histogram based Segmentation using the Wasserstein Distance, at: www.math.lsa.umich.edu/~esedoglu/Papers_Preprints/chan_esedoglu_ni.pdf or at :ftp://ftp.math.ucla.edu/pub/camreport/cam08-47.pdf )

RBF神经网络整定的PID控制，能以任意精度逼近任意连续函数(RBF neural network-tuning of PID control to arbitrary accuracy any continuous function approaching)

独立分量分析的原理与应用 内涵fastica程序 简单明了 推荐哈(Independent Component Analysis Principles and Applications of the connotation fastica program is simple and straightforward recommendation Ha)

pham的频域盲分离算法，可供参考，具有较好的适应性。(pham frequency domain blind separation algorithm available, has a better adaptability.)

matlab图像处理作业，对一段视频中的运动物体进行实时跟踪。利用surf进行每两帧图像的配准，并利用帧间差分法，找到物体轮廓，可追踪两个目标，请在matlab2013b环境下运行(Matlab image processing operations, real-time tracking of a moving object in video. Using surf every two frames of image registration, and use the interframe difference method, find the object contour, traceable two objectives, please run in matlab2013b environment)