The quantum theory application is a hot research area in recent years, especially the theory of quantum mechanics. In this paper, we focus on the research of image segmentation based on quantum mechanics. Firstly,the ...The quantum theory application is a hot research area in recent years, especially the theory of quantum mechanics. In this paper, we focus on the research of image segmentation based on quantum mechanics. Firstly,the theory of quantum mechanics is introduced; afterwards, a review of image segmentation methods based on quantum mechanics is presented; and finally, the characteristics about the quantum mechanics applied to image processing are concluded. Two main research topics are discussed in this paper. One is to emphasize that quantum mechanics can be applied in different research areas, such as image segmentation, and the second is to conclude some methods in image segmentation and give some suggestions for possible novel methods by applying quantum mechanics theory. As a summary, this is a review paper which presents some methods based on the feasible theory in quantum mechanics aiming at achieving a better performance in image segmentation.展开更多
A unified deep learning(DL)based algorithm is proposed for channel state information(CSI)compression in massive multipleinput multipleoutput(MIMO)systems.More importantly,the element filling strategy is investigated t...A unified deep learning(DL)based algorithm is proposed for channel state information(CSI)compression in massive multipleinput multipleoutput(MIMO)systems.More importantly,the element filling strategy is investigated to address the problem of model redesign⁃ing and retraining for different antenna typologies in practical systems.The results show that the proposed DL-based algorithm achieves better performance than the enhanced TypeⅡalgorithm in Release 16 of 3GPP.The proposed element filling strategy enables onetime training of a unified model to compress and reconstruct different channel state matrices in a practical MIMO system.展开更多
基金supported by the National Natural Science Foundation of China under Grant No.51679058the China Higher Specialized Research Fund(Ph.D.supervisor category) under Grant No.20132304110018
文摘The quantum theory application is a hot research area in recent years, especially the theory of quantum mechanics. In this paper, we focus on the research of image segmentation based on quantum mechanics. Firstly,the theory of quantum mechanics is introduced; afterwards, a review of image segmentation methods based on quantum mechanics is presented; and finally, the characteristics about the quantum mechanics applied to image processing are concluded. Two main research topics are discussed in this paper. One is to emphasize that quantum mechanics can be applied in different research areas, such as image segmentation, and the second is to conclude some methods in image segmentation and give some suggestions for possible novel methods by applying quantum mechanics theory. As a summary, this is a review paper which presents some methods based on the feasible theory in quantum mechanics aiming at achieving a better performance in image segmentation.
文摘A unified deep learning(DL)based algorithm is proposed for channel state information(CSI)compression in massive multipleinput multipleoutput(MIMO)systems.More importantly,the element filling strategy is investigated to address the problem of model redesign⁃ing and retraining for different antenna typologies in practical systems.The results show that the proposed DL-based algorithm achieves better performance than the enhanced TypeⅡalgorithm in Release 16 of 3GPP.The proposed element filling strategy enables onetime training of a unified model to compress and reconstruct different channel state matrices in a practical MIMO system.
