1) fractional lower order spatial-temporal matrix
分数低阶空时矩阵
1.
A generalized fractional lower order spatial-temporal matrix(FSTM) of the array measurements is defined.
在对称α稳定(SαS:Symmetric-αstable)分布冲击噪声假设下,定义了一个阵列接收数据的广义分数低阶空时矩阵。
2) fractional lower order moment
分数低阶矩
1.
Fractional time delay estimation algorithm based on the fractional lower order moment;
基于分数低阶矩的非整数时间延迟估计方法
2.
This paper proposes a new adaptive EP latency change detection algorithm (referred to as NLAT) based on the fractional lower order moment and the n.
依据分数低阶矩理论和信号噪声的特性,提出了一种自适应检测EP潜伏期变化的新方法。
3.
A novel joint diagonalization fractional lower order moment(FLOM) DOA matrix method is proposed to estimate the higher 2-D DOA of uncorrelated narrowband signals with high resolution in the presence of impulsive noise.
针对对称α平稳(SαS)噪声环境中信号源的高分辨二维波达方向(DOA)估计问题,提出了一种新的联合对角化(JD)分数低阶矩(FLOM)-DOA矩阵方法。
3) FLOM
分数低阶矩
1.
Based on the α-spectrum of AR SαS processes,the drawback of the parameter estimation of AR SαS processes based on Fractional Lower Order Moments(FLOM) was analyzed.
根据自回归(AR)SαS模型的α谱,分析了基于分数低阶矩(FLOM)法估计AR SαS模型参数的不足。
2.
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。
3.
Since the performance of traditional DOA estimation algorithm degrades significantly under SαS noise,we propose two signal/noise subspace fitting (SSF/NSF) DOA estimation methods,on the basis of fractional lower order moment (FLOM) and screened ratio principle.
由于SαS冲击噪声造成传统DOA算法性能下降,提出了基于分数低阶矩统计量的FLOM-SSF/NSF算法和Screened Ratio原理的SR-SSF/NSF算法。
4) Fractional lower order moments
分数低阶矩
1.
Blind signals separation method based on fractional lower order moments;
分数低阶矩的信号盲分离方法
5) Fractional low order moment
低阶分数矩
6) fractional lower-order moment
分数低阶矩
1.
More details below: Firstly, this paper presents the definition and important characteristic ofα-stable distribution,and discusses the definitions and properties of fractional lower-order moment, minimum dispersion, and some important theorems and conclusions.
下面是具体工作安排: 首先,给出α-稳定分布的定义以及它所具有的重要性质,论述了分数低阶矩和最小离差准则的定义、性质和重要的定理及结论。
2.
We start our discussion with the introduction of two important definitions: fractional lower-order moments and minimum dispersion criterion, which are the foundation of signal processing inα-stable noise environments.
本文首先论述了分数低阶矩和最小离差准则两个重要概念,在此基础上介绍了α-稳定噪声中常用的最小平均l p范数(LMP)和递归最小l p范数(RLP)自适应算法,并通过仿真实验分析了它们的性能。
补充资料：分数阶积分与微分
分数阶积分与微分
og fractional integration and differentia-
分数阶积分的逆运算称为分数阶微分:若几介F，则f为F的:阶分数阶导数(na ctional deriVative).若0<戊
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条