Method to Improve the Tracking Speed of the Early-Late Synchronizer

A new early-late synchronizer is proposed to improve tracking speed. The performance of the traditional early-late synchronizer is analyzed in detail, the result shows that the different location and length of integral period can influence the discriminator characteristic, an improved integral structure is provided which can tracking the synchronization error better. According to the good tracking performance of Kalman filter, a new loop filter is designed. The new early-late synchronizer adopts both the new integral structure and the new loop filter. The analysis with loop theory and simulation results in Simulink show that the new bit synchronizer possesses higher tracking speed than the traditional early-late synchronizer.

Multi-omics graph convolutional networks for digestive system tumour classification and early-late stage diagnosis

The prevalence of digestive system tumours(DST)poses a significant challenge in the global crusade against cancer.These neoplasms constitute 20%of all documented cancer diagnoses and contribute to 22.5%of cancer-related fatalities.The accurate diagnosis of DST is paramount for vigilant patient monitoring and the judicious selection of optimal treatments.Addressing this challenge,the authors introduce a novel methodology,denominated as the Multi-omics Graph Transformer Convolutional Network(MGTCN).This innovative approach aims to discern various DST tumour types and proficiently discern between early-late stage tumours,ensuring a high degree of accuracy.The MGTCN model incorporates the Graph Transformer Layer framework to meticulously transform the multi-omics adjacency matrix,thereby illuminating potential associations among diverse samples.A rigorous experimental evaluation was undertaken on the DST dataset from The Cancer Genome Atlas to scrutinise the efficacy of the MGTCN model.The outcomes unequivocally underscore the efficiency and precision of MGTCN in diagnosing diverse DST tumour types and successfully discriminating between early-late stage DST cases.The source code for this groundbreaking study is readily accessible for download at https://github.com/bigone1/MGTCN.

北斗/GPS伪卫星定位系统中信号跟踪算法研究

北斗/GPS伪卫星定位系统主要应用在卫星信号遮挡严重的区域,能独立或辅助增强北斗/GPS卫星定位。伪卫星信号的捕获跟踪是进行定位解算的前提,针对伪卫星信号存在跟踪不稳定的情况,在详细分析了伪卫星信号生成和捕获跟踪算法原理的基础上,基于模块复用思想,提出了一种捕获跟踪一体化方案。该方案中的捕获算法采用传统的滑动捕获算法,码跟踪算法采用Early-Late算法,在信号解调的过程中采用Costas PLL载波跟踪环路。通过采集的GPS卫星信号仿真可发现跟踪稳定后即时码的能量最大,即时码保持稳定表明进入稳定跟踪状态。在FPGA硬件平台验证了该方案,并对比分析了存在多普勒频偏和无频偏情况下的性能。仿真结果表明,该方案在多普勒频率偏移下依然能够有效、稳定地跟踪解调出导航信号。

Study on the variation in and selection of Fraxinus mandshurica provenances and families in northeast China

Fraxinus mandshurica Rupr.is one of the main afforestation species in northeast China,and there is great demand for improved F.mandshurica varieties.The results of an investigation into and analysis of the growth traits of F.mandshurica provenances and families showed that there were significant differences in different periods.However,variations in growth traits decreased year by year.There was a significant negative correlation between tree heights of the provenances and sunshine hours in their areas of origin.The provenances of Xinglong,Hailin and Wuchang were selected based on the volume of 18-year-old trees.The average genetic gain from the selection of fast-growing provenances was 19.4%.Ten superior fast-growing families were selected.The average volume of the selected families was22.6%,higher than that of all families.The correlation coefficient between heights at 6-year-old and at 18a was 0.838for provenances,and between heights at 4-year-old and at 18-year-old was 0.303 for families.These results indicate that early selection for height in provenances or families could be performed at 6 years or 4 years,respectively.Early selection for DBH and volume in families could start at 8 years.

Novel Joint Chip Sampling and Phase Synchronization Algorithm for Multistandard UMTS Systems

CDMA Timing and phase offsets tracking remain as one of considerable factors that influence the performances of communication systems. Many algorithms are proposed to solve this problem. In general, these solutions process separately the chip sampling offset and phase rotation. In addition, most of proposed solutions can not assure a compromise between robustness criteria and low complexity for implementation in real time applications. In this paper we present an efficient algorithm for chip sampling and phase synchronization. This algorithm allows estimating and correcting jointly in real time, sampling instant and phase errors. The robustness and the low complexity of this algorithm are evaluated, firstly by simulation and then tested by real experimentation for UMTS standard. Simulation results show that the proposed algorithm provides very efficient compensation for sampling clock offset and phase rotation. A real time implementation is achieved, based on TigerSharc DSP, while using a complete UMTS transmission-reception chain. Experimental results show robustness in real conditions.