mcs.tar

一个基于matlab平台关于图像检索的小型GUI！！！(A matlab-based image retrieval on a small platform GUI! ! !)

模式分类这本书的被套的工具书，包含有各种分类的算法的MATLAB的代码实现，《Computer+Manual+in+MATLAB+to+Accompany+Pattern+Classification+2nd+Edition》(pattern recognition and useness with matlab code tools)

vTools is a toolbox for Matlab 5.3 developed within the Department of Electrical Systems and Automation (DSEA) of the University of Pisa (Italy) with the aim to offering to the Matlab users (especially control engineers and control engineering students) a completely graphical toolbox for linear system analysis and robust control synthesis(vTools is a toolbox for Matlab 5.3 develope d within the Department of Electrical Systems a nd Automation (DSEA) of the University of Pisa ( Italy) with the aim to offering to the use of Matlab rs (especially control engineers and control e ngineering students) a completely graphical t oolbox for linear system analysis and robust co ntrol synthesis)

该代码是基于MATLAB的，主要用于求UWB的N阶高斯信号的功率谱密度。(Nth 高斯信号PSD)

实现了数据从文件的输入，ar模型预测，arma模型预测，卡尔曼滤波器模型预测，利用图形用户界面编写(Realized the data from the file input, ar model predictions, arma model prediction, Kalman filter model predictions, using a graphical user interface for the preparation of)

有限元方法分析典型结构,采用六节点三角形单元(This programming give an order 6 triangulation, an abstract list of sets of six nodes. The vertices are listed clockwise, then the midside nodes.)

关于调频解调的部分程序，希望对大家有所帮助，谢谢 (FM demodulation on the part of the process, and I hope to help you, thank you)

对于参数估计问题,克拉美罗界(简称CRB)为任何无偏估计量的方差确定了一个下限. 即不可能求得方差小于下限的无偏估计量,并为比较无偏估计量的性能提供了一个标准. 本程序对CLRB（克拉美罗下界）进行了描述，预留了参数。 希望能对同志们提供帮助。(For the parameter estimation problem, Cramer-Rao bound (referred to as CRB) for any unbiased estimator of variance to determine a lower limit that can not be obtained is less than the minimum variance unbiased estimator and unbiased estimator for comparing the performance of provides a standard procedure for this CLRB (Cramer-Rao lower bound) for a description of the reserved parameters. Hoping to help comrades.)

该代码展示了如何通过数值方法估计某个量值的思路，方法具有新颖之处。。。望采纳(QUADGUI Demonstrate numerical evaluation of a definite integral. Q = QUADGUI(F,A,B) shows the steps in approximating the integral of F(x) from A to B by adaptive extrapolated Simpson s quadrature. The shaded area shows the integral over the current subinterval. The color switches to green when the desired accuracy is obtained.)

tutorial de NIST qui explique l implementation de wimax pour NS2