This paper constructs a tree model by using the 3D stochastic and L system with brackets. Adjusting the range of the parameters, the present method ensures a favorable randomness and reflects the reality and the real ...This paper constructs a tree model by using the 3D stochastic and L system with brackets. Adjusting the range of the parameters, the present method ensures a favorable randomness and reflects the reality and the real time. Based on a simple mechanical model, the simulation of the phenomenon of wind swaying trees satisfies visual effects well.展开更多
Vessel segmentation plays a crucial role in the diagnosis of many diseases,as well as assisting surgery.With the development of deep learning,many segmentation methods have been proposed,and the results have become mo...Vessel segmentation plays a crucial role in the diagnosis of many diseases,as well as assisting surgery.With the development of deep learning,many segmentation methods have been proposed,and the results have become more and more accurate.However,most of these methods are based on supervised learning,which require a large amount of labeled data as training data.To overcome this shortcoming,unsupervised and self-supervised methods have also received increasing attention.In this paper,we generate a synthetic training datasets through L-system,and utilize adversarial learning to narrow the distribution difference between the generated data and the real data to obtain the ultimate network.Our method achieves state-of-the-art(SOTA)results on X-ray angiography artery disease(XCAD)by a large margin of nearly 10.4%.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
文摘This paper constructs a tree model by using the 3D stochastic and L system with brackets. Adjusting the range of the parameters, the present method ensures a favorable randomness and reflects the reality and the real time. Based on a simple mechanical model, the simulation of the phenomenon of wind swaying trees satisfies visual effects well.
基金supported in part by the National Key Research and Development Program of China(No.2022YFA1004703)the National Natural Science Foundation of China(No.61873262).
文摘Vessel segmentation plays a crucial role in the diagnosis of many diseases,as well as assisting surgery.With the development of deep learning,many segmentation methods have been proposed,and the results have become more and more accurate.However,most of these methods are based on supervised learning,which require a large amount of labeled data as training data.To overcome this shortcoming,unsupervised and self-supervised methods have also received increasing attention.In this paper,we generate a synthetic training datasets through L-system,and utilize adversarial learning to narrow the distribution difference between the generated data and the real data to obtain the ultimate network.Our method achieves state-of-the-art(SOTA)results on X-ray angiography artery disease(XCAD)by a large margin of nearly 10.4%.
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。
