Compressive sensing（CS） has emerged as a novel sampling framework which enables sparse signal acquisition and reconstruction with fewer measurements below the Nyquist rate.An important issue for CS is the constructi...Compressive sensing（CS） has emerged as a novel sampling framework which enables sparse signal acquisition and reconstruction with fewer measurements below the Nyquist rate.An important issue for CS is the construction of measurement matrix or sensing matrix.A new deterministic sensing matrix,named as OOC-B,is proposed by exploiting optical orthogonal codes（OOCs）,Bernoulli matrix and Singer structure,which has the entries of 0,＋1 and-1 before normalization.We have proven that the designed deterministic matrix is asymptotically optimal.In addition,the proposed deterministic sensing matrix is applied to direction of arrival（DOA） estimation of narrowband signals by CS arrays（CSA）processing and CS recovery.Theoretical analysis and simulation results show that the proposed sensing matrix has good performance for DOA estimation.It is very effective for simplifying hardware structure and decreasing computational complexity in DOA estimation by CSA processing.Besides,lower root mean square error（RMSE） and bias are obtained in DOA estimation by CS recovery.展开更多
In this article, the Rosenbloom-Tsfasman metric of matrix product codes over finite commutative rings is studied and the lower bounds for the minimal Rosenbloom- Tsfasman distances of the matrix product codes axe obta...In this article, the Rosenbloom-Tsfasman metric of matrix product codes over finite commutative rings is studied and the lower bounds for the minimal Rosenbloom- Tsfasman distances of the matrix product codes axe obtained. The lower bounds of the dual codes of matrix product codes over finite commutative Frobenius rings are also given.展开更多
Availability of magnetic materials is most crucial for modern Europe,as they are integral to energy conversion across the renewable energy and electric mobility sectors.Unfortunately,there is still no circular economy...Availability of magnetic materials is most crucial for modern Europe,as they are integral to energy conversion across the renewable energy and electric mobility sectors.Unfortunately,there is still no circular economy to reuse and capture value for these types of materials.With the prediction that the need for NdFeB Rare Earth(RE)magnets will double in the next 10 years,this problem becomes even more urgent.As the quality of the recollected materials varies significantly,the development of a classification system for recyclate grades of EOL NdFeB magnets in combination with an eco-labelling system for newly produced RE permanent magnets is proposed to clearly identify different magnet types and qualities.It categorises the NdFeB magnets by technical pre-processing requirements,facilitating use of the highly effective HPMS process(Hydrogen Processing of Magnetic Scrap)for re-processing extracted materials directly from NdFeB alloy.The proposed measures will have a great impact to overcome existing low recycling rates due to poor collection,high leakages of collected materials into non-suitable channels,and inappropriate interface management between logistics,mechanical pre-processing and metallurgical metals recovery.展开更多
基金supported by the National Natural Science Foundation of China(6117119761371045+2 种基金61201307)the Shandong Provincial Promotive Research Fund for Excellent Young and Middle-aged Scientists(BS2010DX001)the Shandong Provincial Natural Science Foundation (ZR2011FM005)
文摘Compressive sensing（CS） has emerged as a novel sampling framework which enables sparse signal acquisition and reconstruction with fewer measurements below the Nyquist rate.An important issue for CS is the construction of measurement matrix or sensing matrix.A new deterministic sensing matrix,named as OOC-B,is proposed by exploiting optical orthogonal codes（OOCs）,Bernoulli matrix and Singer structure,which has the entries of 0,＋1 and-1 before normalization.We have proven that the designed deterministic matrix is asymptotically optimal.In addition,the proposed deterministic sensing matrix is applied to direction of arrival（DOA） estimation of narrowband signals by CS arrays（CSA）processing and CS recovery.Theoretical analysis and simulation results show that the proposed sensing matrix has good performance for DOA estimation.It is very effective for simplifying hardware structure and decreasing computational complexity in DOA estimation by CSA processing.Besides,lower root mean square error（RMSE） and bias are obtained in DOA estimation by CS recovery.
文摘In this article, the Rosenbloom-Tsfasman metric of matrix product codes over finite commutative rings is studied and the lower bounds for the minimal Rosenbloom- Tsfasman distances of the matrix product codes axe obtained. The lower bounds of the dual codes of matrix product codes over finite commutative Frobenius rings are also given.
文摘Availability of magnetic materials is most crucial for modern Europe,as they are integral to energy conversion across the renewable energy and electric mobility sectors.Unfortunately,there is still no circular economy to reuse and capture value for these types of materials.With the prediction that the need for NdFeB Rare Earth(RE)magnets will double in the next 10 years,this problem becomes even more urgent.As the quality of the recollected materials varies significantly,the development of a classification system for recyclate grades of EOL NdFeB magnets in combination with an eco-labelling system for newly produced RE permanent magnets is proposed to clearly identify different magnet types and qualities.It categorises the NdFeB magnets by technical pre-processing requirements,facilitating use of the highly effective HPMS process(Hydrogen Processing of Magnetic Scrap)for re-processing extracted materials directly from NdFeB alloy.The proposed measures will have a great impact to overcome existing low recycling rates due to poor collection,high leakages of collected materials into non-suitable channels,and inappropriate interface management between logistics,mechanical pre-processing and metallurgical metals recovery.
