1) fractional derivative analysis
实数阶矩分析
3) second-order moment analysis
二阶矩分析
1.
The paper is based on the classical perspective of business cycle and the modern perspective of business cycle respectively, it explores the characteristics of business cycle in China of different levels by HP filtering technology, building a second-order moment analysis and Autoregressive Conditional Heteroskedasticity (ARCH) Models.
本文从经典经济周期波动视角与现代经济周期波动视角分别入手,借助HP滤波技术、二阶矩分析和构建白回归条件异方差(ARCH)模型等分析方法对我国经济周期波动特征进行不同层面的深入分析。
4) 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。
5) 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。
6) 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
