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基于频谱预处理的RS码盲检测识别方法     RS码  有限域傅立叶变换   盲检测与识别       font style='font-size:12px;'> 2014/4/10
针对RS(Reed Solomon)码的盲检测与识别问题,提出了一种基于频谱预处理的检测方法。该方法利用RS码的频域特征,实现对RS码的盲检测与识别,针对高误码情况,对多组码字的频谱分量进行非线性变换和中值滤波,充分利用码字变换频谱的统计信息,使得检测算法可以适应较高的误码环境,同时给出了算法误码适应能力的理论上限。仿真实验表明,算法能够在较高误码率条件下实现对本原RS码的盲检测与识别,性能已接近...
On The Coronal Activity of the RS CVn-Type Binaries     Coronal Activity  RS CVn-Type Binaries       font style='font-size:12px;'> 2010/4/16
We re-analysed the behaviour of coronal activity of the RS CVn-type binaries as a function of stellar and orbital parameters. Highly significant correlations were found between the x-ray luminosity Lx...
Kinematics of RS CVn and W UMa Binaries in the Hipparcos Catalogue     RS CVn  W UMa Binaries  Hipparcos Catalogue       font style='font-size:12px;'> 2010/4/16
Space motions of RS CVn and W UMa binaries have been calculated using parallaxes and proper motions from Hipparcos catalogue and radial velocities from the literature. We have calculating the mean mot...
Dynamical Evolution of the RS CVn-type Binaries     angular momentum  RS CVn-type Binaries       font style='font-size:12px;'> 2010/4/16
The orbital angular momentum (orbital AM) of a sample of forty RS CVn-type binaries with the orbital periods P \leq 10 days were estimated and the orbital AM distribution with respect to P was critica...
Short-period RS CVn and W UMa binaries: how are they related?     W Ursae Majoris  angular momentum loss       font style='font-size:12px;'> 2010/4/16
Two groups of late-type very close main sequence binaries, the so-called short-period RS Canum Venaticorum (RS CVn) and W Ursae Majoris (W UMa) systems, are important for the understanding of the stru...
Co-ordinated Multi-wavelength Observations of the RS CVn System CF Tuc     photometry  spectroscopy  microwave       font style='font-size:12px;'> 2010/4/16
A `multi-site, multi-wavelength' campaign on the eclipsing RS CVn binary CF Tuc was carried out in 1996 over both optical (photometry and spectroscopy) and radio (microwave) ranges. The microwave data...

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