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OFDM_rece_matlab
一个OFDM符号128个有效符号，插入128个虚拟子载波
符号率（即有效数据率）fsymbol，而发送速率（需要包括虚拟子载波）2fsymbol
输入的数据需要2倍的发送数据率，以便进行内插，实现位定时跟踪，即4倍fsymbol采样率的调制信号
OFDM symbol Nfft=128 points
一个OFDM符号数据点 Nfft*2 = 256 ， Guard Interval点 ＝Ng*2=64
( a OFDM symbol 128 effective symbols, insert 128 virtual sub-carrier
symbol rate (i.e. valid data rate), and fsymbol sending rate (need to include virtual sub-carrier) 2fsymbol
input data need 2 times the sending data rate for interpolation, realize a timing tracking, namely fsymbol sampling rates four times the modulation signal
OFDM symbol Nfft = 128 points
a OFDM symbol of data points Nfft* 2 = 256, Guard Interval point = Ng* 2 = 64
)
- 2011-05-21 10:28:58下载
- 积分：1
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qpsk
qpsk 调制(qpsk )
- 2011-06-14 12:28:38下载
- 积分：1
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compareODEsols
Solving IVP ODEs using Symbolic MATH "dsolve", Laplace Transforms and MuPAD for analytic solutions and ODE45, ODE113 and Simulink for numeric solutions of the given 2nd order ODE is shown in this script.
- 2011-12-24 15:15:33下载
- 积分：1
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MATLAB
信号与系统在MATLAB中的实现，给出了各种信号处理基本方法的源码实现(Signals and Systems at the MATLAB implementation, give a variety of basic methods of signal processing implementation of the source)
- 2009-03-30 14:34:35下载
- 积分：1
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matlab-gui-design
掌握和精通matlab之gui设计，书籍，代码复制即可用(Grasp and mastery the matlab gui design, books, copy the code to use)
- 2013-03-06 19:14:07下载
- 积分：1
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eemd
本程序为eemd的基本程序，可以通过调用此程序对信号进行eemd分解(This program is eemd the basic procedures, you can call this process decomposition of the signal eemd)
- 2011-11-24 09:21:04下载
- 积分：1
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statisticalSIgLab
Statistical Signal Processing Lab
- 2012-01-11 06:52:59下载
- 积分：1
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adaboost
AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。
具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后，
计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法.......
直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。
可以看出，训练流程是串行的，并且训练样例的权重是一直在变化的，分错的样本的权重不断加大，正确的样本的权重不断减小。
AdaBoost元算法是boosting中流行的一种，还有其他的系统融合的方法，比如bagging方法以及随机森林。
对于非均衡样本的处理，一般可以通过欠抽样(undersampling)或者过抽样(oversampling)，欠抽样是削减样本的数目，
过抽样是重复的选取某些样本，最好的方法是两种进行结合的方法。
同时可以通过删除离决策边界比较远的样例。
(AdaBoost boosting systems dollar fusion algorithm is the most popular one, it plainly systems integration approach is a serial train and final weighted cumulative.
Specific process is: Each training example is given equal weight, and the weights satisfy normalization, after the first classifiers after
Calculating a first classifier weights alpha value for each sample and updates right weight training, and then the second classifier training, the same way .......
0, or until the specified error rate training rounds, wherein the label is the calculation of the final prediction system* alpha weighted and then sign (predicted value).
As can be seen, the training process is serial, and weight training examples is always changing, the right of the wrong sample weight continued to increase, the right to correct sample weight decreasing.
AdaBoost algorithm is an element, as well as other methods of boosting popular systems integration, such as bagging and random forest method.
For )
- 2014-07-09 19:24:29下载
- 积分：1
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SVM-Related-Resources-Summary
介绍了SVM的基础知识，包括：SVM入门（一）SVM简介；SVM入门（二）线性分类器part1；SVM入门（三）线性分类器part2；SVM入门（四）线性分类器的求解—问题的描述part1；SVM入门（五）线性分类器的求解—问题的描述part2等。(Describes the basics of SVM, including: SVM Getting Started (1) SVM Introduction SVM Getting Started (2) linear classifier part1 SVM Getting Started (3) linear classifier part2 SVM entry (d) the solution of a linear classifier- description of the problem part1 SVM Getting Started (5) the solution of the linear classifier- description of the problem part2 and so on.)
- 2009-12-24 09:40:53下载
- 积分：1
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postprocessingFEM
说明： This provides good overview for post-processing by Matlab
- 2019-03-25 22:58:12下载
- 积分：1
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