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1)  CLEAN algorithm
CLEAN算法
1.
Signal processing for discontinuous spectra FMICW based on CLEAN algorithm
基于CLEAN算法的非连续谱线性调频中断波信号处理
2.
The CLEAN algorithm is introduced from non-instant u-v coverage aperture synthesis in radio astronomy to instant situation in 2-D airborne mm-wave imaging, to remove the bad influences of the undersampled u-v plane coverage to image quality so as to eliminate the negative impacts on the image caused by high side slobs.
该文将非即时u-v覆盖的综合孔径射电天文观测中的CLEAN算法应用到即时u-v覆盖的机载二维被动毫米波综合孔径成像中,避免因空间频率覆盖的不完整而产生对图像质量的影响,以达到消除高旁瓣对图像产生的负面影响。
3.
CLEAN algorithm has the limitation of iterative dithering and convergence instability when it was applied to extend sources processing.
为了解决CLEAN算法处理展源时存在的迭代抖动、收敛不稳定的弊端,借鉴最大熵算法的平滑约束概念,通过修正CLEAN算法迭代过程中的脏束,提出了带有平滑约束的CLEAN算法
2)  clean rings
Clean环
1.
This paper has discussed several important properties of Clean Rings on the basis of the definition given by W.
Zhou给出的一般chean环的定义,对Clean环的几个重要性质进行了论述,并在此基础上讨论了一般clean环的扩张,对Clean环是Morita不变量在一定条件下进行了阐述。
3)  Clean ring
Clean环
1.
Several notes for clean rings;
关于clean环的几个注记
2.
It is proved that if R is a σ rigid ring and()_ZR is torsion free,then R is a Baer ring if and only if the ring of skew Hurwitz series over R is a Baer ring,and R is a Clean ring if and only if the ring of skew Hurwitz series over R is a Clean ring.
我们证明了:(1)如果R是σ刚性环并且ZR无挠,则R是Baer环当且仅当R上的斜Hurwitz级数环T是Baer环;(2)R是Clean环当且仅当R上的斜Hurwitz级数环T是Clean环。
4)  clean element
clean元素
5)  CLEAN technique
CLEAN技术
6)  clean differential rings
clean微分环
1.
In this paper,we follow the definition of general clean differential rings given by W.
Zhou给出的一般clean微分环的定义基础上,首先讨论了Clean微分环的几个重要性质,然后对在一定条件下Clean微分环是Morita不变量进行了论述,并在此基础上进一步讨论了一般clean微分环的几个扩张性质。
补充资料:clean air
分子式:
CAS号:

性质:指未受污染的空气。其组成与正常空气相一致。通常用空气组成的本底值作比较,以判别是否洁净或受污染的程度。从现有资料,已知大城市污染空气中痕量气体的浓度比洁净空气中的要高1.3~1000倍。下表列出洁净空气与污染空气中某些成分的含量。成份洁净空气污染空气二氧化硫(SO2)0.00020.2二氧化碳(CO2)320400一氧化碳(CO)0.140~70氮氧化物(NOx)0.0010.2臭氧(O3)0.020.5甲烷(CH4)1.52.5氨(CH3)0.010.02

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