1) FLOC
[英][flɔk] [美][flɑk]
分数低阶协方差
1.
α-Spectrum Estimation for AR SαS Processes Based on FLOC;
基于分数低阶协方差的AR SαS模型α谱估计
2.
For the impulse noise, the time-delay can be estimated by computing the FLOC(Fractional Low-Order Covariance).
由于脉冲噪声服从低阶分布,采用分数低阶协方差方法,可以得到较好的时延估计精度及良好抗噪声能力和抗混响能力,比较适合室内的语音源定位。
3.
The drawback of the parameter estimation method for ARMA SαS process based on fractional lower order moments(FLOM) was analyzed,and based on the conception of fractional lower order covariance(FLOC),a new parameter estimation method of ARMA SαS process was proposed based on FLOC coefficient.
分析了基于分数低阶矩(FLOM)估计ARMA SαS模型参数的不足,根据分数低阶协方差(FLOC)的概念,提出了一种基于分数低阶协方差系数估计ARMA SαS模型参数的方法。
2) fractional lower order covariance
分数低阶协方差
1.
Direction finding of signal subspace fitting algorithm based on reconstructed fractional lower order covariance
重构分数低阶协方差的子空间拟合测向算法
2.
In order to solve the degenerative performance of Capon filterbank spectral estimation under alpha-stable distribution noise, a new spectral estimation method based on improved Capon filtrbank is presented, the traditional Capon filterbank is reconstructed with fractional lower order covariance(FLOC).
为了解决Capon滤波器组谱估计方法在稳定分布噪声下性能出现退化的问题,提出了一种改进的Capon滤波器组谱估计方法,利用分数低阶协方差(FLOC)对传统的Capon滤波器组进行重构。
3) generalized fractional lower-order covariance spectrum
广义分数低阶协方差谱
4) fractional lower order covariance spectrum
分数低阶协方差谱
5) Fractional Lower Order Covariance(FLOC) spectrum
分数低阶协方差(FLOC)谱
1.
When the characteristic parameter a is small, the frequency estimation becomes obviously worse with either power spectrum or covariation alpha-spectrum,so the Fractional Lower Order Covariance(FLOC) spectrum is proposed to estimate the Doppler frequency of the aircraft signal.
当Alpha稳定分布的特征参数α值较小时,基于功率谱或基于共变α谱的频率估计性能将明显下降,为此本文提出基于分数低阶协方差(FLOC)谱方法估计ARM载机信号的多普勒频率,并针对载机信号的强相关性用对消器抑制载机信号,最后导出了标准对称Alpha稳定分布杂波下ARM的Wald检测统计量。
6) hybrid difference method
低阶差分
1.
In the light of defects of the high order difference and low order difference,a new type of hybrid difference method is put forward in this paper.
本文主要研究了高阶差分和低阶差分的不足,从而提出了一种新型的混合差分法,这种方法比高低阶差分都优
补充资料:协方差阵
协方差阵
covanance matrix
协方差阵【cm.dan份ma州x;曰.例...叱幽旧M.,阅a] 若干个随机变量,成对取其协方差,所构成的矩阵.更确切地,k维向量X=(x,,…,习的协方差阵为方阵艺=〔【(火二〔X)(浑‘E幻T],这里〔X=(E戈,…,〔勒丁是均值向量.协方差阵的分量是 aij=日(不一E戈Xxj一Exjll=cov(Xi,xj), i,j=l,…,k,而当i=j时,它与0戈(“var(茂》相同(即戈的方差位犷主对角线_!一).协方差阵是一个对称半正定阵.若协方差阵为正定的则X的分布为非退化的;否则为退化的.对随机向量血言,协方差阵的作用,正如随机变量的方差.如果随机变量X,,…,戈的方差都是1.则X二(刃、,一、戈)的协方差阵与其相关阵(mrrelation matrix)相同. 样本厂”,…,砂、的样本协方差阵,由方差和协方差的估计量构成二 S一汁:户l‘X(用’一见‘X‘”一习了,这里X‘m,如二l,.。)是独立同分布的k维随机向量,而-了是厂,j、…,户’的算术平均.如果丫‘、,二,厂”,的分布是具协方差阵艺的多维且态分布,则S(n一l)/。是艺的最大似然估计量;在这一场合,矩阵(n一飞)S各元的联合分布称为Wi劝斌分布(Wishart distrlbuti(,n).它是多元统计分析中的基本分布之一,借助于它可检验有关协方差阵艺的假设.A.Bfl阳xopoB撰陈希孺译
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