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Correlation-in-hourly-records-Software
Correlation and predection of power demand for power system
- 2013-11-18 17:26:33下载
- 积分：1
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movement_detector
moving object dection with the three dimendional analysis
- 2010-10-01 01:12:16下载
- 积分：1
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MATLAB_svm
关于支持向量机的MATLAB程序，用于模式识别(On the MATLAB support vector machine procedures for pattern recognition)
- 2009-07-02 16:20:32下载
- 积分：1
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fenxing
说明： 本文给出两个最典型分形集—Julia 集和Mandelbrot 集的matlab源程序，并对分析了它们的性质和变化规律。(In this paper, the two most typical fractal sets-Julia sets and Mandelbrot Sets matlab source, and an analysis of their nature and variation.)
- 2008-11-02 10:40:37下载
- 积分：1
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CHOPPER_FED_DC_MOTOR
chopper fed dc motor
- 2014-09-30 17:38:16下载
- 积分：1
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MUSIC
阵列信号处理常用的MUSIC算法，包括经典MUSIC，求根MUSIC，基于四阶累积量的MUSIC等(MUSIC usual array signal processing algorithms, including the classic MUSIC, Root MUSIC, based on fourth-order cumulant MUSIC etc.)
- 2013-10-15 18:24:41下载
- 积分：1
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HMM-proj
HMM based speech recognition..
- 2013-11-10 01:12:51下载
- 积分：1
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w
利用matlab实现下面的问题：其中u(k)和z(k)分别为模型的输入和输出变量；v(k)为零均值、方差为1、服从正态分布的白噪声；为噪声的标准差；利用得到的u(k)和z(k)来辨识模型的阶次和参数。 (Using matlab to achieve the following questions: where u (k) and z (k) respectively, the input and output variables of the model v (k) with zero mean and variance 1, follow a normal white noise noise standards Poor utilization u (k) and z (k) to identify the order and parameters of the model.)
- 2013-04-30 12:01:17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
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houfangjiaohui
基于matlab对后方交会进行了编程实现
(Based on matlab Resection programming to achieve)
- 2012-09-24 18:40:24下载
- 积分：1
