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tes
test bed for matlab, mimo ofdm
- 2009-09-13 13:06:29下载
- 积分：1
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SNR_MAX
波束合成的最大输出信噪比准则，附有程序说明。(Beam synthesis of maximum output signal-to-noise criteria, with a description of the procedures.)
- 2007-09-01 09:50:43下载
- 积分：1
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matlab_pic_commands
matlab工具书/学习资料。详细收录并讲解了matlab的图像命令。(matlab books/learning materials. Matlab included and explained in detail the image command.)
- 2011-02-08 20:21:41下载
- 积分：1
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JGPC_CARIMA
说明： 改进的广义预测控制，源码程序，适用于非最小相位系统的C(JGPC)
- 2010-04-11 14:14:53下载
- 积分：1
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HumanTracker
Human algorithm in matlab
- 2011-10-26 15:56:10下载
- 积分：1
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d_014_dyn
14 bus model using matlab and psat for load flow
- 2013-05-10 18:09:16下载
- 积分：1
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julei
说明： 基于蚁群的聚类案例分析分享基于蚁群的聚类案例基于蚁群的聚类案例(Based on ant colony clustering case)
- 2020-11-21 16:49:58下载
- 积分：1
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createMontage
a UINT8 montage image comprising the images named in cell Array Of Images.
- 2015-02-03 15:14:48下载
- 积分：1
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yuzhifenge
全局阈值分割：迭代法、Otsu法；局部阈值分割(Global Thresholding: iterative method, Otsu method local threshold segmentation)
- 2010-07-04 18:31:07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
