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GSTOOLS
遗传算法工具箱 希望高手指点 GATOOLS(Genetic Algorithm Toolbox hope you pointing)
- 2009-04-11 15:43:37下载
- 积分:1
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Nearestneighbor
模式识别问题最近邻算法的matlab实现,可以模拟实现最近邻法的核心,是一个不错的代码(
Nearest neighbor algorithm for pattern recognition problem of matlab to achieve, can simulate the nearest neighbor method to achieve the core of the code is a good)
- 2009-06-30 22:20:15下载
- 积分:1
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skekm
PSS primary synchronization signal in the time domain simulation related, For lack of EMD, Transceiver contains two client programs.
- 2017-09-01 11:08:56下载
- 积分:1
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induction_motor_main_6input_fun
Induction Machine calculation
- 2014-08-26 17:37:06下载
- 积分:1
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gaoyang_v69
滤波求和方式实现宽带波束形成,用MATLAB实现动态聚类或迭代自组织数据分析,匹配追踪和正交匹配追踪。( Filtering summation way broadband beamforming, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Matching Pursuit and orthogonal matching pursuit.)
- 2016-05-12 13:47:09下载
- 积分:1
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Time-series-Analysis
时间序列分析,需要的额下来看看,求高人指导(Time series analysis, the amount needed down to look at, seek expert guidance)
- 2012-06-04 11:07:10下载
- 积分:1
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0fdm
基于qpsk的程序仿真的源代码,用于对qpsk进行仿真(source code based on qpsk)
- 2011-12-02 22:32:29下载
- 积分:1
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CFDerb
复倒谱域滤波去除信号混响成分。利用复倒谱域变换与复倒谱滤波的方式去除单通道语音信号中的混响成分,提高语音质量。(Complex cepstrum domain filtering to remove the reverberation signal component. Using complex cepstrum and complex cepstrum domain transform filter
Wave way to remove single-channel voice signal reverberation components, to improve voice quality)
- 2011-12-16 16:28:44下载
- 积分:1
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FIRfilterPack
FIR filter design main function
- 2015-07-08 01:04:21下载
- 积分:1
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SignCorrectionInSVDandPCA
虽然奇异值分解(SVD)和特征值分解(EVD的)是行之有效的,可以通过先进的设施设备先进的算法,它不是通常所说,有一个内在的迹象,可以显着影响的不确定性的结论计算及诠释来自其结果。我们提供一个解决方案,标志模糊的问题确定了从奇异向量的内积和个人数据载体签署奇异向量的迹象。该数据可能有不同的载体,但它有它自身的定位和实际意义的选择方向,其中多数的向量点。这可以通过评估发现了内心的签署标志产品的总和。(Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products. )
- 2010-07-01 09:49:23下载
- 积分:1