1) super Gaussian
超高斯信号
1.
The experiments show the effectiveness of this approach not only with sub-sub Gaussian sources but also with sub-super Gaussian sources,which is more difficult to perform.
从实验结果可以看出,该方法不仅可以很好地解决源信号为亚高斯信号混合的盲源分离问题,而且对源信号为亚高斯和超高斯信号混合的盲源分离问题也取得了很好的效果。
2) Gaussian signal
高斯信号
1.
According to the feature of White Gaussian signal, Wiener G-functional expressions under the Gaussian input are derived by the method of being different from the predecessors.
介绍了ＷｉｅｎｅｒＧ泛函的基本概念，并根据高斯信号的特性，利用有别于前人的方法，导出了在高斯输入下的ＷｉｅｎｅｒＧ泛函的一般表达式。
3) sub-Gaussian signals
亚高斯信号
4) non-Gaussian signal
非高斯信号
1.
Fast fixed point blind beamforming algorithm for arbitrary non-Gaussian signals
针对任意非高斯信号的快速固定点盲波束形成方法
2.
Fractional lower order moment (FLOM) which also is called as fractional lower order statistics (FLOS) is one forceful tool of non-Gaussian signal analysis and processing.
分数低阶矩(FLOM)或分数低阶统计量(FLOS)是另一种非高斯信号分析处理的有力工具。
6) rectangular control pulse
高斯信号脉号
补充资料：超超
1.谓超然出尘。 2.高高在上貌。 3.犹绰绰。 4.见"超超玄箸"。
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