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Parzen
Parzen窗法,由样本求概密估计,例为一维正态分布和双峰均匀分布,内附随机数生成的原理说明。(Parzen window method, by the sample density estimate for estimated Example for one-dimensional normal distribution and bimodal uniform distribution, random number generator containing a description of the principle.)
- 2008-07-02 22:34:35下载
- 积分:1
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Simon-Haykin
国外自适应滤波器经典教材ppt,课后习题答案,课程部分代码(Foreign adaptive filter classic textbook ppt, answers to the questions, the course of the code)
- 2013-12-31 10:51:13下载
- 积分:1
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atp_empt_rule_book
电磁暂态计算用EMTP的rule手册,英文版本,中文版翻译不是很好,还是得看英文版(atp emtp rule book ,english version)
- 2014-01-13 11:42:01下载
- 积分:1
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touyingfa
本文是有关投影法的matlab程序 给出具体例子说明此方法(This article is about the projection of the matlab program gives concrete examples to illustrate this method)
- 2008-04-24 21:40:16下载
- 积分:1
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gailvlunkechengsheji
(一)目的:通过对常用的概率密度函数和分布函数的应用,达到熟练掌握概率密度函数和分布函数调用方法的目的。
(二)任务:对实际的案例进行分析,调用相应概率密度函数和分布函数,使用MATLAB软件计算其结果。
(三)要求:理解概率密度函数和分布函数,能够解决实际问题。
((A) Purpose: used by the probability density function and distribution function of the application, to master the probability density function and distribution methods of the purpose of function call. (B) tasks: the actual analysis of the case, call the corresponding probability density function and distribution function, the use of MATLAB software to calculate their results. (C) requirements: understanding of the probability density function and distribution function, to solve practical problems.)
- 2009-06-20 00:49:41下载
- 积分:1
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New-folder-(3)
this file is about beam forming with adaptive file
- 2013-09-12 15:48:27下载
- 积分:1
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INCORPORATION-OF-D-FACTS-DEVICE-IN-DISTRIBUTION-S
INCORPORATION OF D-FACTS DEVICE IN DISTRIBUTION SYSTEM FOR LOSS REDUCTION
- 2014-01-30 14:20:30下载
- 积分:1
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knn1
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.)
- 2017-08-09 21:06:38下载
- 积分:1
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tiaopin
说明: 调频信号的时-频分析 针对时变信号有很好的效果(When FM signals- frequency analysis for time-varying signal has good results)
- 2007-10-11 20:36:36下载
- 积分:1
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Matlab
说明: 合成孔径雷达成像RD算法源码 ,运行是正确的 对学雷达成像的有用(Synthetic aperture radar imaging algorithm RD-source, running is the right to learn the usefulness of radar imaging)
- 2008-11-12 10:42:15下载
- 积分:1