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cluster-matlab
聚类算法 matlab实例,电子书,pdf格式的电子书(Clustering algorithm matlab example)
- 2011-11-19 14:04:06下载
- 积分:1
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GPC-for-matlab
这是一个从书本上敲打上去的关于GPC的程序。非最小相位系统采用RLS辨识参数,输入为方波信号(This is a beat up books on the GPC program. Non-minimum phase system uses the the RLS identification parameters input square wave signal)
- 2013-05-14 21:08:17下载
- 积分:1
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frequency-response
求梁的频响函数,梁的频响函数,梁的频响函数,梁的频响函数,( frequency response)
- 2016-03-02 15:09:17下载
- 积分:1
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478507_2ee4f82ebb07fd4a
对称振子方向图,用MATLAB软件编写完成,有一定的参考价值(Symmetric Oscillators pattern, complete with MATLAB software development, there is some reference value)
- 2010-10-07 14:50:49下载
- 积分:1
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clarify-PSO
协同PSO算法是运用协同组合方法,采用K均值来分类,PSO辅助来实现聚类分析(PSO algorithm is the use of collaborative synergistic combination of methods, the use of K-means to classify, PSO assisted to achieve clustering analysis)
- 2013-11-15 19:31:24下载
- 积分:1
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fast_f_transform
离散形式的傅里叶变换可以利用数字计算机快速的算出(其算法称为快速傅里叶变换算法(FFT)).(Discrete Fourier transform can be calculated using a fast digital computer (the algorithm is called fast Fourier transform algorithm (FFT)).)
- 2011-01-05 10:09:51下载
- 积分:1
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KFDA
核Fisher鉴别分析方法(KFDA)。KFDA方法的基本思想是首先将原始训练样本通过一个非线性映射 映射到某一高维(可能是无限维)特征空间F中,然后在F中执行Fisher鉴别分析。(Nuclear Fisher discriminant analysis method (KFDA). The basic idea of KFDA method is the first original training data by a nonlinear mapping mapped to a high dimensional (possibly infinite dimensional) feature space F, then F in the implementation of the Fisher discriminant analysis.)
- 2010-05-31 09:43:58下载
- 积分:1
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K-mean
用K均值聚类法对数据进行分类,比较简单和基础的分类方法,可用于图像处理(With the K-mean method for data classification, the classification of simple and basic method can be used for image processing)
- 2011-12-05 20:07:06下载
- 积分:1
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pr10_5_1
共振峰和基音参数语音合成的模型共振峰和基音参数语音合成的模型(Formant and pitch of speech synthesis model parameters formant and pitch of speech synthesis model parameters)
- 2021-03-18 20:39:19下载
- 积分:1
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lcmv
波束合成中的LCMV算法,多个入射波和干扰信号(LCMV beam synthesis algorithm, a number of the incident wave and interference signals)
- 2020-09-25 15:07:48下载
- 积分:1