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运用FDTD算法实现天线的仿真 ThreeDimensional
一个关于天线的程序 运用FDTD算法实现天线的仿真 很好的 欢迎大家下载(Procedures on the use of an antenna of the antenna FDTD algorithm welcome to download a good simulation)
- 2010-07-16 11:23:54下载
- 积分:1
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rfoc+kubotaV6
observateeur de kubota
- 2009-12-31 06:17:31下载
- 积分:1
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shuju
一个处理化学数据的MATLAB程序,用于处理产生畸变的数据的二次拟合(A chemical treatment data MATLAB procedures for dealing with distortion of data arising from the second fitting)
- 2008-07-31 20:05:25下载
- 积分:1
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FullBNT
说明: 一个非常受欢迎的贝叶斯网络matlab工具箱(A very popular Bayesian network toolbox matlab)
- 2010-05-03 17:16:54下载
- 积分:1
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source
This derivation of the normalised least mean square algorithm is based on Farhang-
Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm
we consider the standard LMS recursion, for which we select a variable step size
parameter, μ(n). This parameter is selected so that the error value , e+(n), will be
- 2011-01-12 17:04:12下载
- 积分:1
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pso_neteval
说明: PSO MATLAB 程序,有助于求解混合非整数规划问题(PSO MATLAB )
- 2011-03-28 09:42:30下载
- 积分:1
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MATLAB轨道不平顺
说明: 利用MATLAB计算轨道谱密度的程序,含有多种不同计算方法(Program for calculating orbital spectral density using MATLAB)
- 2021-04-07 17:39:01下载
- 积分:1
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kalmanfilter
说明: 此文件是关于卡尔曼滤波器的算法的matlab文件,通常改变其中的参数能够进行不同的仿真。在研究信号方面或者进行定位能用到(This file is on the Kalman filter algorithm matlab file, typically change the parameters of which can be a different simulation. Signals in the study or can be used to locate)
- 2010-04-12 19:02:55下载
- 积分:1
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Process
Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.
- 2013-01-01 20:25:49下载
- 积分:1
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chaos-rossler1
rossler混沌系统图像,u取不同参数时的6种混沌状态(rossler chaotic system images, u for different parameters of the six Chaos)
- 2007-04-03 09:51:48下载
- 积分:1