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ArToolBox
AR建模工具箱 - ArToolBox,用于时间序列分析和应用，方便且规范的代码，易于使用。(The AR modeling toolbox- ArToolBox, for time series analysis and applications, convenient and standardized code, easy to use.)
- 2013-01-05 23:50:33下载
- 积分：1
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check_product
code for finding maximal solution of max-product fuzzy relation equation
- 2012-03-27 20:22:20下载
- 积分：1
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binary_mod_demod
二进制数字调制解调方式，包括2ASK,2FSK,2PSK等，有图形(Binary digital modulation and demodulation, including 2ASK, 2FSK, 2PSK so, graphics)
- 2010-08-24 13:16:27下载
- 积分：1
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my_code
this is one of the best satelite code in the world to find the look angle
- 2013-08-23 11:52:02下载
- 积分：1
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2
说明： 继续上次传的遗传算法，本次的是算法的初始化部分。(Continue to the last mass of the genetic algorithm, this is part of the initialization algorithm.)
- 2009-04-22 00:13:40下载
- 积分：1
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kolda_862
Kolda Tensor Factorization toolbox.
Useful for tensor signal processing
- 2014-08-08 18:22:14下载
- 积分：1
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基于matlab的系统分析与设计之信号处理
基于matlab的系统分析与设计之信号处理 源代码(MATLAB signal processing)
- 2009-11-21 20:34:33下载
- 积分：1
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Estimator_Blocks
Algortihms to estimate blocks of an image
- 2011-01-18 17:57:10下载
- 积分：1
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rocketperf
A matlab script to calculate the performance of a multi-stage rocket. payloads, veloicties, all dem good stuffs.
- 2012-10-28 16:09:36下载
- 积分：1
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matlab
聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分：1
