Impact of texture type on the magnetic properties of ultrahigh density perpendicular magnetic recording media L1_(0)-FePt thin film was investigated,so were the texture formation and evolution mechanism.Reuss,Voigt,an...Impact of texture type on the magnetic properties of ultrahigh density perpendicular magnetic recording media L1_(0)-FePt thin film was investigated,so were the texture formation and evolution mechanism.Reuss,Voigt,and Hill models were used to determine the anisotropic elastic modulus of L1_(0)-FePt thin film with fiber texture.Then,the elastic strain energies of thin films under various stress conditions were calculated.Results reveal that the stress condition has a significant influence on the fiber texture evolution.When the L1_(0)-FePt thin film is subjected to compressive in-plane strain prior to ordering phase transformation,the formation of{100}fiber texture is promoted.On the contrary,the ordering phase transformation under tensile in-plane strain promotes the{001}fiber texture formation.展开更多
平滑范数(Smoothed l0,SL0)压缩感知重构算法通过引入平滑函数序列将求解最小l0范数问题转化为平滑函数优化问题,可以有效地用于稀疏信号重构。针对平滑函数的选取和算法稳健性问题,提出一种新的平滑函数序列近似范数,结合梯度投影法优...平滑范数(Smoothed l0,SL0)压缩感知重构算法通过引入平滑函数序列将求解最小l0范数问题转化为平滑函数优化问题,可以有效地用于稀疏信号重构。针对平滑函数的选取和算法稳健性问题,提出一种新的平滑函数序列近似范数,结合梯度投影法优化求解,并进一步提出采用奇异值分解(Singular value decomposition,SVD)方法改进算法的稳健性,实现稀疏度信号的精确重构。仿真结果表明,在相同的测试条件下,本文算法相比OMP算法、SL0算法以及L1-magic算法在重构精度、峰值信噪比方面都有较大改善。展开更多
基金Inner Mongolia Natural Science Foundation Project(2020LH05028)。
文摘Impact of texture type on the magnetic properties of ultrahigh density perpendicular magnetic recording media L1_(0)-FePt thin film was investigated,so were the texture formation and evolution mechanism.Reuss,Voigt,and Hill models were used to determine the anisotropic elastic modulus of L1_(0)-FePt thin film with fiber texture.Then,the elastic strain energies of thin films under various stress conditions were calculated.Results reveal that the stress condition has a significant influence on the fiber texture evolution.When the L1_(0)-FePt thin film is subjected to compressive in-plane strain prior to ordering phase transformation,the formation of{100}fiber texture is promoted.On the contrary,the ordering phase transformation under tensile in-plane strain promotes the{001}fiber texture formation.
文摘平滑范数(Smoothed l0,SL0)压缩感知重构算法通过引入平滑函数序列将求解最小l0范数问题转化为平滑函数优化问题,可以有效地用于稀疏信号重构。针对平滑函数的选取和算法稳健性问题,提出一种新的平滑函数序列近似范数,结合梯度投影法优化求解,并进一步提出采用奇异值分解(Singular value decomposition,SVD)方法改进算法的稳健性,实现稀疏度信号的精确重构。仿真结果表明,在相同的测试条件下,本文算法相比OMP算法、SL0算法以及L1-magic算法在重构精度、峰值信噪比方面都有较大改善。
