As a branch of quantum image processing,quantum image scaling has been widely studied.However,most of the existing quantum image scaling algorithms are based on nearest-neighbor interpolation and bilinear interpolatio...As a branch of quantum image processing,quantum image scaling has been widely studied.However,most of the existing quantum image scaling algorithms are based on nearest-neighbor interpolation and bilinear interpolation,the quantum version of bicubic interpolation has not yet been studied.In this work,we present the first quantum image scaling scheme for bicubic interpolation based on the novel enhanced quantum representation(NEQR).Our scheme can realize synchronous enlargement and reduction of the image with the size of 2^(n)×2^(n) by integral multiple.Firstly,the image is represented by NEQR and the original image coordinates are obtained through multiple CNOT modules.Then,16 neighborhood pixels are obtained by quantum operation circuits,and the corresponding weights of these pixels are calculated by quantum arithmetic modules.Finally,a quantum matrix operation,instead of a classical convolution operation,is used to realize the sum of convolution of these pixels.Through simulation experiments and complexity analysis,we demonstrate that our scheme achieves exponential speedup over the classical bicubic interpolation algorithm,and has better effect than the quantum version of bilinear interpolation.展开更多
提出双馈发电机(doubly-fed induction generator,DFIG)的比例-积分-谐振(proportional integral resonant,PIR)并网控制方法,以实现电网电压不平衡工况下DFIG风力发电系统的并网控制。并网控制器由同步旋转坐标系中的比例-积分控制器...提出双馈发电机(doubly-fed induction generator,DFIG)的比例-积分-谐振(proportional integral resonant,PIR)并网控制方法,以实现电网电压不平衡工况下DFIG风力发电系统的并网控制。并网控制器由同步旋转坐标系中的比例-积分控制器和谐振控制器组成,比例积分控制器控制定子d-q轴电压的直流分量,谐振控制器控制定子d-q轴电压的交流分量,使其分别实现对电网d-q轴电压直流、交流分量的精确跟踪。该比例-积分-谐振并网控制策略具有无需采用正负序分离算法,无需设计负序控制器等优点。仿真结果表明,该并网控制策略在电网电压平衡和不平衡条件下,均可控制DFIG定子电压实现对电网电压的精确跟踪。展开更多
基金Project supported by the Scientific Research Fund of Hunan Provincial Education Department,China (Grant No.21A0470)the Natural Science Foundation of Hunan Province,China (Grant No.2023JJ50268)+1 种基金the National Natural Science Foundation of China (Grant Nos.62172268 and 62302289)the Shanghai Science and Technology Project,China (Grant Nos.21JC1402800 and 23YF1416200)。
文摘As a branch of quantum image processing,quantum image scaling has been widely studied.However,most of the existing quantum image scaling algorithms are based on nearest-neighbor interpolation and bilinear interpolation,the quantum version of bicubic interpolation has not yet been studied.In this work,we present the first quantum image scaling scheme for bicubic interpolation based on the novel enhanced quantum representation(NEQR).Our scheme can realize synchronous enlargement and reduction of the image with the size of 2^(n)×2^(n) by integral multiple.Firstly,the image is represented by NEQR and the original image coordinates are obtained through multiple CNOT modules.Then,16 neighborhood pixels are obtained by quantum operation circuits,and the corresponding weights of these pixels are calculated by quantum arithmetic modules.Finally,a quantum matrix operation,instead of a classical convolution operation,is used to realize the sum of convolution of these pixels.Through simulation experiments and complexity analysis,we demonstrate that our scheme achieves exponential speedup over the classical bicubic interpolation algorithm,and has better effect than the quantum version of bilinear interpolation.
文摘提出双馈发电机(doubly-fed induction generator,DFIG)的比例-积分-谐振(proportional integral resonant,PIR)并网控制方法,以实现电网电压不平衡工况下DFIG风力发电系统的并网控制。并网控制器由同步旋转坐标系中的比例-积分控制器和谐振控制器组成,比例积分控制器控制定子d-q轴电压的直流分量,谐振控制器控制定子d-q轴电压的交流分量,使其分别实现对电网d-q轴电压直流、交流分量的精确跟踪。该比例-积分-谐振并网控制策略具有无需采用正负序分离算法,无需设计负序控制器等优点。仿真结果表明,该并网控制策略在电网电压平衡和不平衡条件下,均可控制DFIG定子电压实现对电网电压的精确跟踪。