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randwalk2d.m
This is a good example of brownian motion is cartesian coordinates. the results are illustrated
- 2013-02-26 03:04:19下载
- 积分：1
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cipintongji_audi
通过Matlab程序，将word文档中词义相近的词语聚类，并分析计算聚类后不同类别词语的频数。(By Matlab procedures, the word document clustering words of similar meaning, and to analyze the frequency of different types of words after computing clusters.)
- 2014-10-20 09:22:26下载
- 积分：1
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Time-series-Toolbox
时间序列工具箱，包括时间序列分析的各种MATLAB源代码。(time series toolbox)
- 2011-11-08 15:19:00下载
- 积分：1
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ceshixitongdonglixue
测试系统动力学主要是解决测试系统的动态性能指标，对动态特性的研究有很大的意义。(Test system dynamics mainly to resolve the dynamic performance measurement system, the dynamic characteristics of a great significance.)
- 2010-09-26 17:40:57下载
- 积分：1
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miscdevice
ftconfig.in UNIX-specific configuration file (specification only).
- 2015-09-10 22:16:12下载
- 积分：1
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2019年华为杯数学建模F题第一问代码
说明： 2019年第16届华为杯数学建模F题第一问的代码(Code of the first question of mathematical modeling F of the 16th Huawei cup in 2019)
- 2019-11-30 15:46:34下载
- 积分：1
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applicationofdifferential
application of diferrential evolution for structural system identification
- 2010-08-10 02:43:17下载
- 积分：1
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BruteSearch
K-nearest neighbors 搜索 聚类时经常使用的一种方法 国外网站转载( The following utilities are provided:
- Nearest neighbor
- K-Nearest neighbors
- Radius Search
They al supports N-dimensions and work on double, it is possible to choose if return the distances.
Here is a time comparison with a vectrized m-code:
N=1000000 number of reference points
Nq=100 number of query points
dim=3 dimension of points
k=3 number of neighbor
tic
[idc,dist]=BruteSearchMex(p ,qp , k ,k) MEX
toc
tic
[idc,dist]=knnsearch(qp,p,k) VECTORIZED M-CODE
toc
p=rand(N,dim)
qp=rand(Nq,dim)
Output:
Elapsed time is 0.962640 seconds.
Elapsed time is 18.813100 seconds. )
- 2009-03-30 08:08:08下载
- 积分：1
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Matlab-signal
关于信号处理方面的内容，在matlab编程实现时详细解答(Signal processing on the content of programming in matlab to answer in detail)
- 2011-04-20 16:40:18下载
- 积分：1
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Multi-User-Diversity-vs
In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows
for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users.
- 2013-11-08 12:10:41下载
- 积分：1
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