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Graph
在Matlab开发环境下，一些常用的图论算法的集合(In the Matlab development environment, some common set of graph theory algorithms)
- 2010-07-22 09:06:02下载
- 积分：1
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MUSIC
MUSIC，多重信号分类法，基于子空间分解，是DOA估计中的经典高分辨方法，初学者必须懂的。(MUSIC, multiple signal classification method based on subspace decomposition, is the classic high-resolution DOA estimation method for beginners to understand.)
- 2011-04-27 11:30:28下载
- 积分：1
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segmentationGUI
segmentation of images
- 2010-07-06 15:07:27下载
- 积分：1
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Qplot
Menu driven GUI for creating many graph types(Menu driven GUI for creating many graph typ es)
- 2007-04-05 19:09:44下载
- 积分：1
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svm
支持向量机的回归拟合——混凝土抗压强度预测,介绍SVM回归拟合的基本思想和原理，并以实例的形式阐述其在混凝土抗压强度预测中的应用。(Support vector machine regression- concrete compressive strength prediction, SVM regression introduce the basic ideas and principles, and examples in the form set forth in the concrete compressive strength prediction.)
- 2013-08-16 09:28:23下载
- 积分：1
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active-and-reactive-power
active and apparent power
- 2013-11-03 17:42:58下载
- 积分：1
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demodulation-of-MFSK-signals
提出了一种多迸制频移键控(M娲K)信号调制分类及解调方法，选取截获接收机输出的MFSK信
号的时频脊线作为分类特征，利用无监督聚类算法求取最佳聚类数M．利用时频脊线的Ham：小波变换
估计码元宽度，并且利用对应最佳聚类数的聚类中心确定抽判门限，通过对时频脊线抽样判决，实现了
MFSK信号的解调．理论分析和对实际信号的处理结果证明了此算法的可行性．(new algorithm is proposed for elassillcation and demodulation of MFSK signals．The ridge of time—
frequency representation of MFSK signals is analyzed．Modulation elassi_fieation is realized by using the unsupervised
clustering algorithm to determine the optimal nulnllt2r of clusters．In order to demodulate MFSK signals，the Haar
wavelet transform is used to estimate the code—width and the centers of optimal clusters are used to determine
thresholds．Theoretical analysis and practical signal processing results justify the robusticity and the efficiency of the
new classification and demodulation Mgorithm．)
- 2015-05-30 19:10:23下载
- 积分：1
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yalmiptest
this is for lmi lmi problems
- 2010-01-12 14:49:48下载
- 积分：1
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leach_mod1
leach协议在matlab改进。对于初学者matlab了解leach协议有很好的帮助。(leach xie yi in the MATLAB)
- 2010-05-10 11:15:04下载
- 积分：1
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Digit-Recognizer
steps -
1. run DigitRecognizer.m
2. mode to run
a. Test Mode
input pad will open with axes having a red dot.
left-click mouse and drag(dont unclick) mouse
to draw a numeric digit.
if you unclick mouse it won t draw anything.
if you want to continue drawing, click again on
any red place on axes and start dragging.
once done, click submit.
it will give you result.
b. Training Mode
input pad will open with axes having a red dot.
draw a number and click submit.
when promted, enter the value you drawn.
if you wish to continue training, click YES and
repeat.
if you click No, a feedforward neural network
will be trained and saved, you can test it.
- 2014-09-28 08:12:20下载
- 积分：1
