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Pav
in this package are the programs needed to solve any eigenvalue problem.
- 2013-08-16 02:13:02下载
- 积分：1
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Solution-of-algebraic-equations
很多代数方程组的解法，需要用matlab做算法的童鞋可以考虑下载(Solution of many algebraic equations, need to do the algorithm matlab download children s shoes can be considered)
- 2011-05-12 11:16:11下载
- 积分：1
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gesd_test
The Generalized ESD procedure ( gesd ) tests for up to a prespecified number r of outliers and it is specially recommended when testing for outliers among data coming from a normal distribution.
- 2012-07-22 18:06:21下载
- 积分：1
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zhixianzhen
matlab编写的，阵列为直线阵，信号进行波束形成，实现信号能量聚集(matlab prepared, the array of linear array, the signal beam forming, gathering energy for signal)
- 2015-03-14 16:42:23下载
- 积分：1
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MOM
说明： 利用矩量法求解hallen方程和伯克林顿方程，得到电流分布的matlab程序。(The use of moment method for solving equations and Peter Clinton Hallen equation, the current distribution of the matlab program.)
- 2008-09-02 15:37:28下载
- 积分：1
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suiji
随机信号分析实验之白噪声测试，白噪声信号的特性，包括均值、方差、相关函数、概率密度、频谱及功率谱密度等。( White noise of test random signal analysis experiment, white noise signal characteristic, including average value , variance, correlation function, probability density, frequency spectrum and power spectral density and so on. )
- 2011-08-23 16:28:43下载
- 积分：1
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Fast-Report-Delphi
Fast Report Implementation that creating report for any use (eg. master report)
- 2014-11-25 15:55:07下载
- 积分：1
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A_Software-Defined_GPS_and_Galileo_Receiver--A_Sin
A Software-Defi ned GPS and Galileo Receiver
A Single-Frequency Approach这本书的源代码(A Software-Defined GPS and Galileo Receiver A Single-Frequency Approach this book' s source code)
- 2010-09-04 10:06:44下载
- 积分：1
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Programming-with-MATLAB-and-Visual-C
用MATLAB和VisualC_混合编程及应用(Hybrid Programming with MATLAB and VisualC_ and application)
- 2013-10-10 14:56:17下载
- 积分：1
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Desktop
特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。
我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下：
對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )
- 2014-12-18 12:19:30下载
- 积分：1
