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wavelet-design-codes
这是一本很权威的由张德峰老师编写的小波分析的书相应的源代码(This is a very authoritative and written by Zhang Defeng teacher' s book of wavelet analysis the source code)
- 2011-04-24 11:47:08下载
- 积分:1
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matlab_file
将数据从hfss中导出成txt文档,然后利用matlab引入数据,对数据进行处理。(Hfss export data from a txt file, and then use matlab introduction of data, for data processing.)
- 2013-11-07 10:23:44下载
- 积分:1
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3321
This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), Example tracking mean cheap, matlab implements five gray correlation degree computing model.
- 2017-09-26 13:45:16下载
- 积分:1
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symbol_syn
这是超前滞后门在wcdma位同步的应用的matlab源代码,对16倍升余弦匹配滤波器输出位同步(nice )
- 2009-05-04 15:53:48下载
- 积分:1
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xiaobo
这篇文章最近看的觉得挺有用的,希望能对做这方面的朋友有所帮助!(Read this article recently that Tingyou use, hoping to make friends in this area help!)
- 2011-05-31 21:26:39下载
- 积分:1
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anneal
this is an optimization matlab code based on a simulated annealing method
- 2011-10-08 23:43:43下载
- 积分:1
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Channel-coding
信道编码的相关源码,包括检错码,线性分组码,卷积码,Turbo码和低密度校验码(LDPC).(Source, channel coding error detection code, linear block codes, convolutional codes, Turbo codes and low density parity check code (LDPC).)
- 2013-04-05 19:42:11下载
- 积分:1
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Relevance-Vector-Machine
说明: 相关向量机(Relevance Vector Machine,简称RVM)是Micnacl E.Tipping于2000年提出的一种与SVM(Support Vector Machine)类似的稀疏概率模型,是一种新的监督学习方法。
它的训练是在贝叶斯框架下进行的,在先验参数的结构下基于主动相关决策理论(automatic relevance determination,简称ARD)来移除不相关的点,从而获得稀疏化的模型。在样本数据的迭代学习过程中,大部分参数的后验分布趋于零,与预测值无关,那些非零参数对应的点被称作相关向量(Relevance Vectors),体现了数据中最核心的特征。同支持向量机相比,相关向量机最大的优点就是极大地减少了核函数的计算量,并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method.
Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)
- 2021-03-23 21:20:53下载
- 积分:1
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velocity_analysis
This code is about velocity analyse of seismic waves.
- 2009-11-10 00:12:54下载
- 积分:1
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matlabcnhelp
说明: 中文版的matlab文档,适合那些和我一样英语不好的同学(Chinese version of matlab files, suitable for those who, like me, English not good students)
- 2008-11-22 08:51:40下载
- 积分:1