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On signals faint and sparse: the ACICA algorithm for blind de-trending of Exoplanetary transits with low signal-to-noise

机译：关于微弱和稀疏的信号：aCICa算法用于具有低信噪比的Exoplanetary过渡的盲目去趋势

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I. P. Waldmann;
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1. ON SIGNALS FAINT AND SPARSE: THE ACICA ALGORITHM FOR BLIND DE-TRENDING OF EXOPLANETARY TRANSITS WITH LOW SIGNAL-TO-NOISE [J] . I. P. Waldmann The Astrophysical journal . 2013,第1期

机译：信号的稀疏和稀疏：低信噪比的外向过渡盲态化的ACICA算法
2. Sparse least mean fourth algorithm for adaptive channel estimation in low signal-to-noise ratio region [J] . Gui Guan, Adachi Fumiyuki International journal of communication systems . 2014,第11期

机译：低信噪比区域中自适应信道估计的稀疏最小均值第四算法
3. Faint moving object detection, and the low signal-to-noise recovery of main belt comet P/2008 R1 Garradd [J] . Kleyna J., Meech K.J., Hainaut O.R. Publications of the Astronomical Society of the Pacific . 2012,第921期

机译：运动带检测不清晰，主带彗星P / 2008 R1 Garradd信噪比低
4. The impact of low signal-to-noise ratio values on the achievability of Cramer-Rao lower bounds with multi-frame blind deconvolution algorithms [C] . Charles L. Matson, Michael Flanagan, Michael Flanagan Optics in atmospheric propagation and adaptive systems XIII . 2010

机译：低信噪比值对采用多帧盲反卷积算法的Cramer-Rao下界可实现性的影响
5. Correction algorithms for GPS carrier-phase multipath utilizing the signal-to-noise ratio and spatial correlation. [D] . Reichert, Angela Kaye. 1999

机译：利用信噪比和空间相关性的GPS载波相位多径校正算法。
6. Retinal layer thicknesses retrieved with different segmentation algorithms from optical coherence tomography scans acquired under different signal-to-noise ratio conditions [O] . Tuomas Heikka, Barry Cense, Nomdo M. Jansonius 2020

机译：利用不同的分段算法检索视网膜层厚度从不同的信噪比条件下获取的光学相干断层扫描扫描
7. Faint moving object detection, and the Low Signal-to-Noise recovery of Main Belt comet P/2008 R1 Garradd [O] . Kleyna, Jan, Meech, Karen J., Hainaut, Olivier 2012

机译：微弱的运动物体检测，以及低信噪比恢复主带彗星p / 2008 R1 Garradd
8. THE USE OF AN ITERATIVE ALGORITHM FOR THE IMPROVEMENT OF THE SIGNAL-TO-NOISE RATIO OF TV SIGNALS [R] . D E VAUGHAN, J M WILLIAMS 1976

机译：利用迭代算法改善电视信号的信噪比

On signals faint and sparse: the ACICA algorithm for blind de-trending of Exoplanetary transits with low signal-to-noise

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