Cognitive radio (CR) is an efficient way to increase spectrum efficiency for the small low earth orbit (LEO) satellite communication system. Due to the implementation difficulties, we focus on the CR in the uplink tra...
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Cognitive radio (CR) is an efficient way to increase spectrum efficiency for the small low earth orbit (LEO) satellite communication system. Due to the implementation difficulties, we focus on the CR in the uplink transmission. In CR, the cognitive medium access (CMA) is designed to enable the coexistence with the interferences from other systems. However, the CMA schemes designed for the terrestrial system cannot deal well with the global history of interferences in our system. Here, we design the memorized centroid bucket (MCB) scheme that can efficiently utilize the global history of interferences onboard without storing the complete interference samples. With MCB, we can achieve the effective long-term interference prediction to meet the special requirements of the LEO satellite. The key component in MCB is the matching algorithm that can help retrieve the useful historical information. In this paper, we propose three different matching algorithms and the corresponding MCB schemes. The schemes are also compared with the widely used Markovian method and the pair counting-based method. Among all the schemes, the Bayesian scheme MCB-FSNMI-Bayes is the best. The conclusion is validated experimentally with the real data that were collected by an LEO satellite.
Provided are a series of BTK inhibitors, and specifically disclosed are a compound, pharmaceutically acceptable salt thereof, tautomer thereof or prodrug thereof represented by formula (I), (II), (III) or (IV).
标准号:
US2017313683(A1)
Provided are a series of BTK inhibitors, and specifically disclosed are a compound, pharmaceutically acceptable salt thereof, tautomer thereof or prodrug thereof represented by formula (I), (II), (III) or (IV).
Objectives Subclinical thyroid disorders are common in pregnant women, which are associated with adverse pregnancy outcomes. Physiological changes in pregnancy and the lack of pregnancy-specific reference ranges pose ...
Objectives Subclinical thyroid disorders are common in pregnant women, which are associated with adverse pregnancy outcomes. Physiological changes in pregnancy and the lack of pregnancy-specific reference ranges pose great challenge for the managements of subclinical thyroid disorders in pregnancy. We aimed to establish trimester-specific thyroid hormone reference intervals throughout pregnancy in southern Chinese population. Methods we measured the serum thyroid hormone (TSH, FT4, TPO-AB) using Abbott electrochemiluminescence immunoassay in 5589 pregnant women during 2012–2013. Patients with known thyroid disorders, autoimmune disease, recurrent miscarriage, hyperemesis gravidarum and pre-eclampsia were excluded. Trimester-specific reference ranges (2.5th, 97.5th centiles) were calculated. Results TSH median T1: 1.19 ± 0.99 mIU/L ( N = 3532), T2: 1.40 ± 1.02 mIU/L ( N = 1623), T3: 1.48 ± 1.30 mIU/L ( N = 434). FT4 median T1: 15.7 ± 3.12 pmol/L ( N = 3532), T2: 13.81 ± 2.99 pmol/L ( N = 1623), T3: 12.92 ± 2.98 pmol/L ( N = 434). TSH reference range T1: 0.01–3.55 mIU/L, T2: 0.01–4.13 mIU/L, T3: 0–4.67 mIU/L. FT4 reference range T1: 12–21.44pmol/L, T2: 10.01–19.36 pmol/L, T3: 9.29–20.31 pmol/L. TSH slightly increased throughout gestation. FT4 decreased throughout gestation. Conclusions We established pregnancy-specific thyroid function reference intervals of southern Chinese population, which is beneficial in clinical practice. Disclosures L. liu: None. X. Zhang: None. J. Yang: None. X. Qian: None. Z. Zheng: None. X. Tang: None. H. liu: None.
As an important foundation for image-guided technology, image matching technique is the key technology of modern war. This paper proposes a new algorithm of affine invariant detector and descriptor of local invariant ...
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ISBN:
(纸本)9780769551203
As an important foundation for image-guided technology, image matching technique is the key technology of modern war. This paper proposes a new algorithm of affine invariant detector and descriptor of local invariant feature points, starting from feature point detection and description point of view, making up the traditional feature point extraction defects of small number and types. Meantime, proposes an improved similarity measure method based on the previously proposed new feature point detection and description algorithm, it improves the matching accuracy and real-time performance. Finally, compares the experiment results of SURF, SIFT and the improved algorithm proposed in this paper, the experimental results shows that the feature points extracted by the improved algorithm has fully affine invariance, and improved the accuracy and speed of image matching algorithm efficiently.
Electronic image stabilization (EIS) technology is an important research area of video processing and computer vision. This paper presented a set of fast and parallel EIS algorithms. Firstly, this paper proposed a fas...
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ISBN:
(纸本)9780769551203
Electronic image stabilization (EIS) technology is an important research area of video processing and computer vision. This paper presented a set of fast and parallel EIS algorithms. Firstly, this paper proposed a fast local motion vector (LMV) estimation algorithm based on the FAST feature to solve the problem that the traditional algorithm is too complex. Secondly, a parallel global motion vector (GMV) algorithm based on image division is designed, which computes every LMV simultaneously, and then estimates the GMV by all LMVs. Finally, based on the proposed algorithm, an EIS systems based on BF609 dual-core DSP processor is designed and implemented. Experiment results show that the algorithm and system presented in this thesis can effectively stabilize jittery video and achieve high real-time performance. When dealing with PAL standard video, the total time cost is less than 40ms.
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