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1)  fractional lower order statistics(FLOS)
分数低阶统计(FLOS)
2)  fractional lower order statistics
分数低阶统计量
1.
Based on the fractional lower order statistics theory,the deterministic averaging method and two lemmas introduced and proved,this paper gives an analysis of the convergence property of the DLMP algorithm theoretically.
本文基于分数低阶统计量的原理 ,根据确定性平均方法 ,结合文中给出并证明的两个引理 ,对DLMP算法的收敛性能进行了理论分析和证明 。
2.
Considering the effect of α-stable distributed noises for the classical second order statistics,combining fractional lower order statistics theory and chirp Z transformation(CZT),a novel multi-source time delay estimation method in impulsive noise environment is proposed.
同时考虑到α稳定分布噪声会降低基于二阶统计量的传统方法的性能,依据分数低阶统计量理论并引入线性调频Z变换(CZT),提出了一种脉冲噪声环境条件下的多源时延估计新方法,仿真表明该方法可有效解决脉冲噪声环境中多源时延估计的高精度问题,其性能优于常用的共变法。
3.
According to the theory of the fractional lower order statistics and the characteristics of ship radiate noises,this paper proposed a new noise model of underwater acoustic signals,recalled general LMS metnod,analyzed performance degradation reason for non-gaussian noise model,and presented the fractional lower order lp-norm based approaches of adaptivef filter for underwater acoustic signals.
依据分数低阶统计量理论和舰船辐射噪声信号特性,建立了水声信号新的噪声模型,回顾了常规LMS滤波方法,并分析在非高斯噪声下性能退化的原因,提出了一簇基于分数低阶P-范数的LMP水声信号自适应降噪滤波新方法,理论分析和计算机仿真结果表明这种方法在高斯和非高斯(α稳定分布)条件下都具有良好的韧性。
3)  Fractional lower order statistics
分数低阶统计
4)  fractional lower order cyclic statistics
分数低阶循环统计量
1.
The fractional lower order cyclic statistics and its application in time delay estimation under impulsive noise conditions;
分数低阶循环统计量及其在脉冲噪声环境下时延估计中的应用
5)  Fractional lower-order statistics theory
分数低阶统计量理论
6)  fractional lower order statistics signal
分数低阶统计信号
1.
The fractional lower order statistics signal is one kind of random signal which contains the Gaussian signal and applies to much wide areas than the Gaussian signal.
分数低阶统计信号是一种包含高斯信号,但又具有更广泛适用性的随机信号。
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