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jd-algo
联合检测的代码，学习联合检测的好方法，这里和大家一起共享(Joint detection code, a good way to learn the joint test, to share with everyone here)
- 2010-10-19 21:53:45下载
- 积分：1
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BOCostFunction
说明： 解决线性assignment的算法，c++实现，并且提供matlab接口，编译后可以用matlab调用(Solve the linear assignment algorithm, c++ Realize, and to provide matlab interface, the compiler can be used after the call matlab)
- 2008-09-09 13:56:31下载
- 积分：1
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df
说明： 我的收藏，协作通信中DF的matlab仿真
(My collection, collaboration, communication matlab simulation of the DF)
- 2010-03-04 18:12:18下载
- 积分：1
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final-code
This paper presents a new approach to image segmentation using Pillar K-means algorithm. This
segmentation method includes a new mechanism for grouping the elements of high resolution images in order to
improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by
the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each
other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This
algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and
computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric.
This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering
algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.
- 2014-08-18 13:27:11下载
- 积分：1
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simulation
In the previous chapters we have encountered a number of ways to process digital
on
- 2014-11-14 08:57:10下载
- 积分：1
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1ans
大学数学实验的相关资料，方便掌握MATLAB的学习，对MTLAB更好的运，这是实验2的相关资料(Experimental Mathematics, University of the relevant information for learning to master MATLAB on MTLAB better transport, which is the relevant data of experiment 2)
- 2010-06-27 01:40:16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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HHT
计算信号的希尔伯特-黄变换。
将HHT.m中的sig改成需要计算的信号即可。(Calculating signal Hilbert- Huang Transform. )
- 2013-07-25 23:34:54下载
- 积分：1
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Sellmeier
计算光纤中的材料色散和波导色散的matlab程序(Calculation of the fiber material dispersion and waveguide dispersion matlab program)
- 2013-03-20 20:17:53下载
- 积分：1
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Matlab004
pdf file for learning matlab in persian
- 2010-11-06 05:52:38下载
- 积分：1
