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resynth2
Resynthesis of speech, you can modify time-scale.
- 2010-01-07 22:04:46下载
- 积分:1
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n-arm-bandit
banditfor reinforcement learning training
- 2015-03-14 06:20:28下载
- 积分:1
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National-Taiwan-Central-University
总体经验模态分解的程序,总体经验模态分解的程序(Overall empirical mode decomposition process, the overall empirical mode decomposition procedure)
- 2014-06-28 01:03:32下载
- 积分:1
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MATLAD-and-DSP
说明: 在MATLAB下的数字信号处理的一些应用和实例(Under the MATLAB digital signal processing applications and examples of some)
- 2011-03-29 22:50:10下载
- 积分:1
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eight
Audio signal modelling containing a sequence of 2 identical chirp signals with an addition to filtering an image using simple low-pass 1-D filter.
- 2014-02-12 16:48:27下载
- 积分:1
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emd-tools
经验模态分解工具箱,用于处理复杂信号的特征提取十分有效(Empirical mode decomposition toolbox for dealing with complex signal feature extraction is very effective)
- 2012-06-14 13:06:28下载
- 积分:1
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Document1
its matlab code for lane detection algorithm for intelligent highway
- 2014-01-17 02:51:58下载
- 积分:1
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lindo
一个小的lindo,做数学建模的同志们应该知道吧,不知道你们用得上不。以后有好东西再给大家送来(A small lindo, make mathematical modeling comrades should know, I do not know you is not useful. After the U.S. has brought good things to give)
- 2007-08-28 22:49:55下载
- 积分:1
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yalmip
matlab M语言编写支持各种线性,整数,非线性,及其相关综合优化,可用于机械,金融各种行业(matlab M language supports a variety of linear, integer, nonlinear, and its associated synthesis optimization, can be used for machinery, finance a variety of industries)
- 2009-10-10 13:34:07下载
- 积分:1
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adaboost_for_matlab
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)
- 2020-10-21 21:17:23下载
- 积分:1