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yz
说明: 在MATLAB下实现各种数字滤波,包括中值滤波,均值滤波等(MATLAB image processing)
- 2010-05-04 17:14:46下载
- 积分:1
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jieoukz
对各种解耦方式利用SIMULINK进行仿真的源码(Decoupling means the use of a variety of source SIMULINK simulation)
- 2013-08-26 08:23:12下载
- 积分:1
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M_sequence
M序列的产生代码,可生成工程上需要的标准M序列(M-sequence code generation)
- 2011-10-20 11:00:28下载
- 积分:1
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IGA
说明: 为改进遗传算法的源程序,采用了多次2-opt变异算子,进一步改进了计算结果。(The source code for the improved genetic algorithm using a number of 2-opt mutation operator to further improve the results.)
- 2010-04-26 22:57:14下载
- 积分:1
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MatlabGUI
基于MatlabGUI的基础教学文件,包含一些基础的原理和实例,以及具体的编写方法(Based MatlabGUI the basis of teaching file contains some basic principles and examples, as well as specific preparation methods)
- 2012-05-28 18:57:33下载
- 积分:1
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Wrfdata
解析wrf数据,并转化为格点数据,并可以定位任意时次的数据(convert wrf data to grid data)
- 2014-11-20 16:50:27下载
- 积分:1
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TASLP_Code
casa speaker Recognition GFCC
- 2020-11-26 20:59:31下载
- 积分:1
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KNN
K最邻近密度估计技术是一种分类方法,不是聚类方法。
不是最优方法,实践中比较流行。
通俗但不一定易懂的规则是:
1.计算待分类数据和不同类中每一个数据的距离(欧氏或马氏)。
2.选出最小的前K数据个距离,这里用到选择排序法。
3.对比这前K个距离,找出K个数据中包含最多的是那个类的数据,即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method.
It is not the best method, but it is popular in practice.
Popular but not necessarily understandable rule is:
1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov).
2. select the minimum distance from the previous K data, where the choice sorting method is used.
3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)
- 2020-10-23 14:37:22下载
- 积分:1
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chouyang
说明: 使用matlab对独立随机过程抽样产生带通随机过程(The process of generating independent random sampling of band-pass random process)
- 2011-03-10 09:14:02下载
- 积分:1
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IHS
satellite image fusion using intensity hue saturation
- 2014-09-10 23:39:48下载
- 积分:1