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Tutorial_PCA_code.tar
tutorial for PCA with code matlab
- 2013-12-21 14:58:03下载
- 积分：1
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xiaobobao
小波包程序，能够对信号进行特征提取，对初学者有用。(This is a wavelet packet program, which is useful for the Beginners. )
- 2014-04-24 20:38:04下载
- 积分：1
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kunjiu
小波包分析提取振动信号中的特征频率，一个很有用的程序，数值分析的EULER法。( Wavelet packet analysis to extract vibration signal characteristic frequency, A very useful program, EULER numerical analysis method.)
- 2016-12-28 16:19:20下载
- 积分：1
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Matlabmangxinhao
该文件能够实现盲信号的分离，分离效果很好，输入为两种信号的非线性叠加，经过仿真效果很明显！(The document can achieve blind signal separation, separation a good effect, input non-linear superposition of two kinds of signals, through simulation effect is obvious!)
- 2009-11-12 09:56:04下载
- 积分：1
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newton
牛顿迭代法求非线性方程的解，需输入初始值，方程，导数方程，步数，error(Newton iteration solution of nonlinear equations required to enter the initial value equation, derivative equation, step number, error)
- 2010-12-22 19:51:36下载
- 积分：1
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yichuansuanfa
说明： 遗传算法的应用，方便初学者应用研究！学习中！(Application of genetic algorithms to facilitate the application of beginners! Learning!)
- 2010-05-05 10:33:49下载
- 积分：1
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generateMatrix.m
Hamming filter in 2D Low pass filter
- 2011-06-16 06:10:11下载
- 积分：1
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National-Taiwan-Central-University
The current MATLAB program of HHT includes the following modules:
1) eemd.m. The module that performs EMD/EEMD
2) ifndq.m. The module that calculates an instantaneous frequency for a given IMF and
3) extrema.m. A supporting module that is used by the previous two modules.
4) significance.m This is used to obtain the percenta line based on Wu and Huang
(2004).
5) dist_value.m This is a utility program being called by significance.m .
(National Taiwan Central University )
- 2015-04-22 10:25:25下载
- 积分：1
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autonavigator
主要实现一无人自行车的控制自主导航，可对导航与控制进行说明(The main achievement of a bicycle control unmanned autonomous navigation, navigation and control can explain)
- 2007-12-19 23:58:54下载
- 积分：1
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KNN-complexity-reduced-method
基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下(In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static
fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength
values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However,
the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data
calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees
(LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can
take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations
and reference points. We show that this technique can effectively accommodat)
- 2011-02-11 22:16:05下载
- 积分：1
