Description: 刚从老师实验室拿到的智能天线算法，采样矩阵求逆法，算法很精简，在DSP实现耗费时间很少，是个好算法。-just emerging from the laboratory to get teachers of smart antenna algorithms, matrix inversion sampling method, the algorithm is very concise, In DSP little time-consuming, is a good algorithm. Platform: |
Size: 1095 |
Author:kevinzhang |
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Description: 刚从老师实验室拿到的智能天线算法，采样矩阵求逆法，算法很精简，在DSP实现耗费时间很少，是个好算法。-just emerging from the laboratory to get teachers of smart antenna algorithms, matrix inversion sampling method, the algorithm is very concise, In DSP little time-consuming, is a good algorithm. Platform: |
Size: 1024 |
Author:kevinzhang |
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Description: 多元散射校正算法，用于近红外散射数据处理，增强信噪比-function [Xcorrect]=msc(X,Xref)
msc pretreate the samples X with the Multiplicative Scatter Correct
Input
X:the matrix of the sample spectra to be Correct
Xref:the matrix of the sample spectra to be ref
Output
Xcorrect:the sample spectras was Corrected from the X
Programmer: zhimin zhang @ central south university on dec 13 ,2007
Reference: Chemometrics and Intelligent Laboratory Systems 29 (1995) 233-241 Platform: |
Size: 1024 |
Author:张志敏 |
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Description: 基于奇异值分解的人脸识别方法
梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅
提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性.
-Face recognition based on singular value decomposition method
Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan
Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La Platform: |
Size: 58368 |
Author:houhj |
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Description: In this interface, you can control the sources (type, frequency,
length, represented points), the mixture (elements of the mixing
matrix and nonlinears functions in the post nonlinears cases),
the different parameters of noise, the separating algorithm
(choice between two algorithms and associated parameters) and
the parameters of denoising.-All the algorithms simulated in this package have been designed
by Massoud BABAIE-ZADEH during his PhD thesis, prepared in the
Images and Signals Laboratory (LIS) of Institut National Polytechnique
de Grenoble (INPG), under the supervision of Christian JUTTEN. Platform: |
Size: 1028096 |
Author:冯婷 |
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Description: 计算机实验室
内容：
1、分治法，maxmin算法
2、动态规划，矩阵连乘
3、贪心法，
1）背包问题，2）装载问题
4、回溯法，N皇后问题的循环结构算法和递归结构算法。-Computer laboratory content:
1, partition method, maxmin algorithm
2, the dynamic planning, LianCheng matrix
3, greedy method,
1) knapsack problem, 2) the loading problem
4, back in the method, the circulation of the queen s problems N structure algorithm and recursive structure algorithm.
Platform: |
Size: 4096 |
Author:王越瑾 |
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Description: 本软件适合工程技术人员及学生进行数据分析。适用范围广、输入界面简单方便、功能模块实用强大、操作简便易懂。
本软件可进行二元线性与非线性相关分析；多元线性与非线性相关分析；多元线性的相关矩阵分析；数理统计与误差分析；计算行列式的值、求解多元方程组；学习与研究函数的图形及特性；计算常用函数等等。例如：可对化验分析成果进行回归及误差分析、对地质物化探数据进行相关性分析、对测量数据进行误差分析、对社会调查数据进行统计分析等等。 -The software for engineering and technical personnel and students for data analysis. Wide range of applications, the input interface is simple and convenient, functional modules and practical powerful, simple to understand. This software can be binary linear and non-linear correlation analysis multivariate linear and nonlinear correlation analysis multivariate linear correlation matrix analysis Mathematical Statistics and error analysis calculate the value of the determinant, solving multiple equations learning and research functions graphics, and features calculations commonly used functions and so on. For example: results of laboratory analysis can regression and error analysis, geophysical and geochemical data for geological correlation analysis, error analysis of the measurement data, the social survey data for statistical analysis and so on. Platform: |
Size: 7806976 |
Author:Gao |
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Description: MIT人工智能实验室的目标识别的源码,Relief计算分类权重，一个计算声子晶体结构的一维传递矩阵法。- MIT Artificial Intelligence Laboratory identification of the target source, Relief computing classification weight, A one-dimensional transfer matrix method to calculate the phonon crystal structure. Platform: |
Size: 5120 |
Author:upgeknhf |
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Description: MIT人工智能实验室的目标识别的源码,一个计算声子晶体结构的一维传递矩阵法,自己编的5种调制信号。- MIT Artificial Intelligence Laboratory identification of the target source, A one-dimensional transfer matrix method to calculate the phonon crystal structure, Own five modulation signal. Platform: |
Size: 4096 |
Author:henglentaihan |
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Description: AHP层次分析法计算判断矩阵的最大特征值,MIT人工智能实验室的目标识别的源码,添加噪声处理。- Calculate the maximum eigenvalue judgment matrix of AHP, MIT Artificial Intelligence Laboratory identification of the target source, Add noise processing. Platform: |
Size: 12288 |
Author:dkmws |
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Description: SensorPositons: (Dim x M) matrix, each column is a sensor position and
first column is the reference sensor
the sensors should not lie in one plane or line
r: a (M-1) x 1 vector of TDOA measurements times signal propagation speed
M is the number of sensors and should be at least Dim+2
Q: the covariance matrix of the r vector
SourceLocation: estimated source location
Note: W1 is updated 3 times (RptCnt=3) in Stage-1, however in most
cases updating W1 once (RptCnt=1) is sufficient.
The program can be used for 2D(Dim=2) or 3D(Dim=3) localization
Ming Sun, K. C. Ho 08-01-2009
10-01-2010, revised
Copyright (C) 2009
Computational Intelligence Signal Processing Laboratory
University of Missouri
Columbia, MO 65211, USA.
hod@missouri.edu- SensorPositons: (Dim x M) matrix, each column is a sensor position and
first column is the reference sensor
the sensors should not lie in one plane or line
r: a (M-1) x 1 vector of TDOA measurements times signal propagation speed
M is the number of sensors and should be at least Dim+2
Q: the covariance matrix of the r vector
SourceLocation: estimated source location
Note: W1 is updated 3 times (RptCnt=3) in Stage-1, however in most
cases updating W1 once (RptCnt=1) is sufficient.
The program can be used for 2D(Dim=2) or 3D(Dim=3) localization
Ming Sun, K. C. Ho 08-01-2009
10-01-2010, revised
Copyright (C) 2009
Computational Intelligence Signal Processing Laboratory
University of Missouri
Columbia, MO 65211, USA.
hod@missouri.edu Platform: |
Size: 1024 |
Author:marcelonog29 |
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Description: SensorPositons: (Dim x M) matrix, each column is a sensor position and
first column is the reference sensor
the sensors should not lie in one plane or line
r: a (M-1) x 1 vector of TDOA measurements times signal propagation speed
M is the number of sensors and should be at least Dim+2
Q: the covariance matrix of the r vector
SourceLocation: estimated source location
Note: W1 is updated 3 times (RptCnt=3) in Stage-1, however in most
cases updating W1 once (RptCnt=1) is sufficient.
The program can be used for 2D(Dim=2) or 3D(Dim=3) localization
Ming Sun, K. C. Ho 08-01-2009
10-01-2010, revised
Copyright (C) 2009
Computational Intelligence Signal Processing Laboratory
University of Missouri
Columbia, MO 65211, USA.
hod@missouri.edu- SensorPositons: (Dim x M) matrix, each column is a sensor position and
first column is the reference sensor
the sensors should not lie in one plane or line
r: a (M-1) x 1 vector of TDOA measurements times signal propagation speed
M is the number of sensors and should be at least Dim+2
Q: the covariance matrix of the r vector
SourceLocation: estimated source location
Note: W1 is updated 3 times (RptCnt=3) in Stage-1, however in most
cases updating W1 once (RptCnt=1) is sufficient.
The program can be used for 2D(Dim=2) or 3D(Dim=3) localization
Ming Sun, K. C. Ho 08-01-2009
10-01-2010, revised
Copyright (C) 2009
Computational Intelligence Signal Processing Laboratory
University of Missouri
Columbia, MO 65211, USA.
hod@missouri.edu Platform: |
Size: 1024 |
Author:marcelonog29 |
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Description: Matlab 俗称“矩阵实验室”，是Matrix Laboratory 的缩写。1984 年由美国MathWorks 公
司研制开发，以矩阵计算为基础的交互式的功能强大的科学及工程计算软件。(Matlab, commonly known as the matrix laboratory, is the abbreviation of Matrix Laboratory. In 1984 by the United States MathWorks public
The company develops and develops interactive, powerful scientific and engineering computing software based on matrix computing.) Platform: |
Size: 2302976 |
Author:侯东
|
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Description: matlab基础教mATLAB意为矩阵工厂（矩阵实验室）。是由美国mathworks公司发布的主要面对科学计算、可视化以及交互式程序设计的高科技计算环境。它将数值分析、矩阵计算、科学数据可视化以及非线性动态系统的建模和仿真等诸多强大功能集成在一个易于使用的视窗环境中，为科学研究、工程设计以及必须进行有效数值计算的众多科学领域提供了一种全面的解决方案，代表了当今国际科学计算软件的先进水平。(The MATLAB basic teaching mATLAB is the matrix factory (Matrix Laboratory). It is a high-tech computing environment, mainly faced by MathWorks, in the face of scientific computing, visualization, and interactive programming. The numerical analysis, matrix computation, scientific data visualization and modeling and Simulation of nonlinear dynamic systems such as powerful function integrated in an easy-to-use Windows environment, for scientific research, engineering design and the need for many scientific and effective numerical field provides a comprehensive solution that represents the advanced level in today's international scientific computing software.) Platform: |
Size: 288768 |
Author:爬虫~
|
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Description: 目前MATLAB里边对于多点计算仿射矩阵普遍采用RANSAC法，但是比较麻烦计算量也相对较大，通过最小二乘法来进行仿射矩阵的估计能够大大提高该效率，所以奉上自己在实验室写的仿射矩阵估计函数，来弥补matlab函数库在这方面的不足。(The MATLAB inside for calculating affine matrix commonly used RANSAC method, but more trouble calculation is relatively large, estimated by the least squares method to the affine matrix can greatly improve the efficiency, so give yourself in laboratory to write the estimated affine matrix function, to compensate for the lack of MATLAB Library in this area.) Platform: |
Size: 1024 |
Author:AVATAR123 |
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Description: matlab是一种编程软件，也称矩阵实验室. 在数值计算方面做出了很大的贡献. 多目标优化问题是最优化领域中的一种优化方法，得出的解是折衷解. 多目标优化问题可以分为约束多目标优化问题和无约束多目标优化.在实际生活中，有很多问题都可以被视为多目标优化问题，如旅行商问题、工程问题，证券投资问题等，然而采用matlab编程软件具有很好的求解展示效果.(Matlab is a programming software, also known as a matrix laboratory. It has made great contributions in numerical calculations. Multi-objective optimization problems are an optimization method in the field of optimization, and the solutions obtained are compromise solutions. Optimization problems can be divided into constrained multi-objective optimization problems and unconstrained multi-objective optimization problems. In real life, many problems can be considered as multi-objective optimization problems, such as traveling salesman problem, engineering problem, securities investment problem, etc. The matlab programming software has a good solution display effect.) Platform: |
Size: 250880 |
Author:hjing |
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Search - Matrix Laboratory