-
chap13
matlab code for digital signal processing
- 2009-04-18 13:56:42下载
- 积分:1
-
hw
说明: using matlab GUI to do several operations on picture loaded..
- 2009-11-09 01:42:01下载
- 积分:1
-
Matlabjiaoan
这是有关Matlab的一些电子教案或课件,对于学习Matlab的来将非常有帮助(This is the Matlab lesson plans or the number of electronic courseware for learning Matlab)
- 2008-08-04 17:53:24下载
- 积分:1
-
cheng-xu
说明: 关于WS小世界的仿真,对于初学者来说可能比较有用·~· 大家可以看看 是用matlab编写的(WS small world on the simulation, might be useful for beginners ~* we can see is written in matlab)
- 2011-03-10 13:20:26下载
- 积分:1
-
site
optimization energy hub planning
- 2021-03-11 15:09:26下载
- 积分:1
-
L1SVD
一种基于稀疏信号恢复的DOA估计方法,CS采用L1SVD方法进行信号恢复(A DOA estimation method based on sparse signal recovery is proposed. CS uses L1SVD method for signal recovery.)
- 2021-03-16 16:59:22下载
- 积分:1
-
GRNN
GRNN的数据预测:基于广义回归神经网络货运量预测中的源程序及数据(GRNN data to predict the source program and data forecast generalized regression neural network based on the amount of cargo
分享到: 2.5万)
- 2013-08-03 15:13:36下载
- 积分:1
-
svmcgforclass
支持向量机(SVM)参数寻优的matlab文件(SVM parameter optimization)
- 2012-06-25 22:35:08下载
- 积分:1
-
TF-IDF-to-Determine-Word-Relevance
Using TF-IDF to Determine Word Relevance in Document Queries :
In this paper, we examine the results of applying
Term Frequency Inverse Document Frequency
(TF-IDF) to determine what words in a corpus of
documents might be more favorable to use in a
query. As the term implies, TF-IDF calculates
values for each word in a document through an
inverse proportion of the frequency of the word
in a particular document to the percentage of
documents the word appears in. Words with
high TF-IDF numbers imply a strong
relationship with the document they appear in,
suggesting that if that word were to appear in a
query, the document could be of interest to the
user. We provide evidence that this simple
algorithm efficiently categorizes relevant words
that can enhance query retri
- 2015-04-06 15:00:50下载
- 积分:1
-
fdtd3D_UPML
a tree dimensional PML code fdtd3D_UPML
- 2009-03-09 19:23:34下载
- 积分:1