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MOD
MODULATOR MIMO IS VERY GOOD REFERENCE
- 2013-03-11 11:12:19下载
- 积分：1
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this-program-is-hep-full-o-analyse-the-multilevel
This is a multi-level voltage svpwm space vector control algorithm for motor controlThis is a multi-level voltage svpwm space vector control algorithm for motor controlThis is a multi-level voltage svpwm space vector control algorithm for motor control
- 2013-10-24 23:05:38下载
- 积分：1
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Comparison_of_ed_Rayleigh_vs_awgn
compares ed for different wireless channels
- 2014-01-24 16:05:11下载
- 积分：1
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detailed
mfile for dfig matlab simulation simulink
- 2017-12-11 17:28:36下载
- 积分：1
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23338_ETC_FX489
23338_ETC_FX489芯片，用于GMSK调制(23338_ETC_FX489 chip for GMSK modulation)
- 2010-10-07 23:47:19下载
- 积分：1
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my_mpsk_mod
MPSK mod very easy to understand!
- 2011-01-02 23:52:34下载
- 积分：1
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Downloads
两段强化学习算法，提供给研究算法的同学。不知道有没有用(The two reinforcement learning algorithms, to provide students to study algorithm. Do not know that there is no use)
- 2012-04-04 16:16:52下载
- 积分：1
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zengqiang
二进小波图像增强 MATLAB源代码 希望对您有用(Dyadic wavelet image enhancement MATLAB source hope will be useful to you )
- 2010-05-24 21:11:30下载
- 积分：1
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IPToolbox
matlab image processing toolbox
- 2014-09-19 02:25:18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
