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powerfactor
this is the model of power factor correction by matlab program
- 2010-06-12 19:01:12下载
- 积分：1
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dijkstra
计算最短路的经典算法。在程序开发中经常用到(leastroad)
- 2009-06-19 19:12:58下载
- 积分：1
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DV_HOP.m__html
wireless sensor networks
- 2012-08-13 08:59:40下载
- 积分：1
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wenduchang
焊接点热源温度场模拟，对于焊接温度场模拟很有用处(Weld heat source temperature field simulation)
- 2013-10-14 21:19:57下载
- 积分：1
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LeastSquare_Function
最小二乘算法实现定位解算的MATLAB代码，并且包含GDOP、HDOP、TDOP等计算(Least-squares algorithm using MATLAB code positioning solver, and includes GDOP, HDOP, TDOP, etc.)
- 2021-01-29 17:08:34下载
- 积分：1
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Shape-Recognation
这是在MATLAB环境下的一个进行图像连通，识别，提取质心的程序。(This is an image communication, recognition in a MATLAB environment, extracting the centroid of the program.)
- 2015-11-04 22:14:28下载
- 积分：1
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一些程序
轨道动力学的一些有关算法，包括拉格朗日系数计算，轨道根数求解等(Some algorithms of orbital dynamics, including calculation of Lagrange coefficients, solution of orbital elements, etc.)
- 2019-04-16 16:28:38下载
- 积分：1
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zuixiaoerchengzaixitongbianshizhongdeyingyong
在Matlab/Simulink构造一缓慢时变线性系统。试根据系统的输入生产数据分别用带遗忘因子最小二乘法和广义最小二乘法辨识系统的参数。(in Matlab/Simulink constructed a slow time-varying linear systems. Examination under the input production data were used to bring the forgotten factor method of least squares and generalized least squares method recognition system parameters.)
- 2007-07-03 02:56:30下载
- 积分：1
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cryptochat
Its about cryptography example. useful for chatting with some sort of security
- 2009-04-01 15:13:33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
