This study explores CAMTA genes in the rare and endangered Chinese plant species,Liriodendron chinense.Despite the completion of whole-genome sequencing,the roles of CAMTA genes in calcium regulation and stress respon...This study explores CAMTA genes in the rare and endangered Chinese plant species,Liriodendron chinense.Despite the completion of whole-genome sequencing,the roles of CAMTA genes in calcium regulation and stress responses in this species remain largely unexplored.Within the L.chinense genome,we identified two CAMTA genes,Lchi09764 and Lchi222536,characterized by four functional domains:CG-1,TIG,ANK repeats,and IQ motifs.Our analyses,including phylogenetic investigations,cis-regulatory element analyses,and chromosomal location studies,aim to elucidate the defining features of CAMTA genes in L.chinense.Applying Weighted Gene Co-Expression Network Analysis(WGCNA),we explored the impact of CAMTA genes on different organs and their regulation under abiotic stress conditions.The identification of significant gene modules and the prediction of promoter binding sites revealed co-expressed genes associated with CAMTA transcription factors.In summary,this study provides initial insights into CAMTA genes in L.chinense,laying the groundwork for future research on their evolution and biological roles.This knowledge enhancement contributes to a better understanding of plant responses to environmental stress—an essential aspect of plant biology.展开更多
L波段数字航空通信系统(L band digital aeronautical communication system,LDACS)是未来航空宽带通信重要的基础设施之一,针对LDACS信号容易受到相邻波道大功率测距仪(distance measuring equipment,DME)信号干扰的问题,提出了联合正...L波段数字航空通信系统(L band digital aeronautical communication system,LDACS)是未来航空宽带通信重要的基础设施之一,针对LDACS信号容易受到相邻波道大功率测距仪(distance measuring equipment,DME)信号干扰的问题,提出了联合正交投影干扰抑制与单快拍稀疏分解的波达方向(direction of arrival,DOA)估计方法。通过子空间投影抑制DME干扰,然后使用单快拍数据构建伪协方差矩阵,对伪协方差矩阵求高阶幂,之后进行奇异值分解,并利用约束条件求解稀疏解得到期望信号来向的估计值。所提方法使用高阶伪协方差矩阵降低了噪声影响,仅用单快拍就可以准确估计LDACS信号的入射方向。仿真结果表明,改进单快拍高级幂(improved single snapshot high order power,ISS-HOP)L1-SVD算法的估计精度优于ISS-HOP-MUSIC算法。该方法可以有效抑制DME干扰,提高OFDM接收机性能。展开更多
针对L波段数字航空通信系统(L-band digital aeronautic communication system,LDACS)可用频谱资源有限且易受大功率测距仪(distance measuring equipment,DME)信号干扰的问题,提出一种基于降维循环谱和残差神经网络的频谱感知方法。首...针对L波段数字航空通信系统(L-band digital aeronautic communication system,LDACS)可用频谱资源有限且易受大功率测距仪(distance measuring equipment,DME)信号干扰的问题,提出一种基于降维循环谱和残差神经网络的频谱感知方法。首先理论推导分析了DME信号的循环谱特征;然后利用Fisher判别率(Fisher discriminant rate,FDR)提取循环频率能量最大的向量,通过主成分分析(principal component analysis,PCA)进行预处理特征增强;最后给出数据处理后的循环谱向量与卷积神经网络相结合的实现过程,实现了DME信号的有效检测。仿真结果表明,该方法对噪声不敏感,当信噪比不低于-15 dB时,平均检测概率大于90%。当信噪比不低于-14 dB,检测概率接近100%。展开更多
基金This research was funded by the National Natural Science Foundation of China(No.31971682)the Research Startup Fund for High-Level and High-Educated Talents of Nanjing Forestry University.
文摘This study explores CAMTA genes in the rare and endangered Chinese plant species,Liriodendron chinense.Despite the completion of whole-genome sequencing,the roles of CAMTA genes in calcium regulation and stress responses in this species remain largely unexplored.Within the L.chinense genome,we identified two CAMTA genes,Lchi09764 and Lchi222536,characterized by four functional domains:CG-1,TIG,ANK repeats,and IQ motifs.Our analyses,including phylogenetic investigations,cis-regulatory element analyses,and chromosomal location studies,aim to elucidate the defining features of CAMTA genes in L.chinense.Applying Weighted Gene Co-Expression Network Analysis(WGCNA),we explored the impact of CAMTA genes on different organs and their regulation under abiotic stress conditions.The identification of significant gene modules and the prediction of promoter binding sites revealed co-expressed genes associated with CAMTA transcription factors.In summary,this study provides initial insights into CAMTA genes in L.chinense,laying the groundwork for future research on their evolution and biological roles.This knowledge enhancement contributes to a better understanding of plant responses to environmental stress—an essential aspect of plant biology.
文摘L波段数字航空通信系统(L band digital aeronautical communication system,LDACS)是未来航空宽带通信重要的基础设施之一,针对LDACS信号容易受到相邻波道大功率测距仪(distance measuring equipment,DME)信号干扰的问题,提出了联合正交投影干扰抑制与单快拍稀疏分解的波达方向(direction of arrival,DOA)估计方法。通过子空间投影抑制DME干扰,然后使用单快拍数据构建伪协方差矩阵,对伪协方差矩阵求高阶幂,之后进行奇异值分解,并利用约束条件求解稀疏解得到期望信号来向的估计值。所提方法使用高阶伪协方差矩阵降低了噪声影响,仅用单快拍就可以准确估计LDACS信号的入射方向。仿真结果表明,改进单快拍高级幂(improved single snapshot high order power,ISS-HOP)L1-SVD算法的估计精度优于ISS-HOP-MUSIC算法。该方法可以有效抑制DME干扰,提高OFDM接收机性能。
