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DCMotor_nominal
dc motor nominal simulink
- 2011-10-26 01:46:02下载
- 积分：1
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2.5.3
利用firpmord和firpm函数设计双带通滤波器，其指标为，第一带通指标：f =4kHz,f =5 kHz ,f =3.6 kHz ,f =5.4 kHz
第二带通指标：f =6kHz,f =7 kHz ,f =5.6 kHz ,f =7.4 kHz
通带衰耗A <3dB，阻带衰耗A >40dB，抽样频率f =20kHz。(Double belt pass filter using firpmord and firpm function design, for its indicators, through the first area index: f = 4 kHz, f = 5 kHz, f = 3.6 kHz, f = 5.4 kHz
The second bandpass indicators: f = 6 kHz, f = 7 kHz, f = 5.6 kHz, f = 7.4 kHz
Pass band attenuation A < 3 db, stop-band attenuation A > 40 db, f = 20 KHZ sampling frequency.)
- 2014-11-28 16:08:46下载
- 积分：1
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matlab-shudu
源码为使用MATLAB求解数独问题，请先下载并学习MATLAB的使用。(Source for the use of MATLAB to solve sudoku problem, please download and study the use of MATLAB.)
- 2009-02-25 08:35:23下载
- 积分：1
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interpft_quadric
对非同步采样数据进行二次插值同步化处理，进而进行谐波分析。(The asynchronized sample data can be synchronized by the qudric interpolation.)
- 2014-02-21 18:31:44下载
- 积分：1
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PGaE69
美国PG&E69节点配电系统潮流计算原始数据（各节点和支路信息）(US PG & E69 node flow calculation raw data distribution system (each node and branch information))
- 2015-07-03 08:06:57下载
- 积分：1
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IP
说明： 整数规划mixed-integer linear programming problem(mixed-integer linear programming problem)
- 2010-10-09 14:36:21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
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Estimation_theory
Estimation Theory. Easy Understandable form in PPT formate. With detail explaination of important point.
- 2015-04-01 21:26:16下载
- 积分：1
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Neural-Network-using-a-Generalized-Linear-Model
Neural Network using a Generalized Linear Model
- 2014-02-17 00:23:52下载
- 积分：1
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object_Recoganation
seperating object ,and it charecter
- 2010-02-12 00:38:38下载
- 积分：1
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