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Lindo_use
lingdo软件的基本使用方法。有详细的例子以及解释，帮助我们快速的掌握这个数学软件(lingdo the basic use of software. Detailed examples and explanations to help us to quickly grasp the mathematical software)
- 2010-07-12 18:00:05下载
- 积分：1
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TX_HD_PP_CORR2
基于灰度匹配准则的图像匹配，能快速找出对应下帧图像中对应的图像(Matching criterion based on a grayscale image matching, can quickly find out the corresponding frame image in the image )
- 2010-07-26 17:11:34下载
- 积分：1
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pb
MATLAB绘图时，用于生成带有箭头的平面坐标系，方便绘图，更显专业(Two-dimensional coordinates with arrow.)
- 2009-12-22 16:02:44下载
- 积分：1
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351133_1135158301
用MATLAB运行主成分，可以求出特征向量，等非常实用。(MATLAB operation principal component, can work out characteristic vector, and very practical.
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- 2012-05-31 21:25:40下载
- 积分：1
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DjVuReader.2.0.0.27
ITS SOFTWARE TO OPEN SOME FILES
- 2014-11-07 21:40:18下载
- 积分：1
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volterra
本程序是基于递推最小二乘算法的volterra级数辨识(This procedure is based on the recursive least squares algorithm on the series)
- 2021-03-17 14:29:21下载
- 积分：1
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fuzzypid
模糊控制自整定PID,simulink环境下的算法仿真。(Fuzzy control self-tuning PID, simulink environment simulation algorithm.)
- 2008-03-05 21:21:25下载
- 积分：1
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104
数字移动:图中的九个点上,空出中间的点,其余的点上任意填入数字1到8.1的位置固定不动,然后移动其余的数字,使1到8顺时针从小到大排列.移动的规律是:只能将数字沿线移向空白的点.
(Digital Mobile: Figure in the nine points, empty out the middle point, the rest of the points fill any position of the numbers 1 to 8.1 fixed and then move the rest of the figures, and make 1-8 clockwise from small to large array . The law of movement is: can only move along the number of blank spots.)
- 2009-11-15 21:33:11下载
- 积分：1
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matlab6
第 1 章基础准备及入门；第 2 章数值数组及其运算；第 3 章字符串、元胞和构架数组；“第 4 章数值计算；第 5 章符号计算(Chapter 1 Introduction to basic and preparation Chapter 2 numerical arrays and their operations Chapter 3 strings, and the framework of cellular arrays " Chapter 4 Numerical calculation Chapter 5 symbolic computation)
- 2009-03-17 17:55:24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
