2010版药品生产质量管理规范(GMP)附录《计算机化系统》的颁布,为我国制药行业计算机化系统的管理提出了要求。而其中计算机化系统验证的水平是国内药品生产企业的短板。基于《良好自动化生产实践指南(5版)》(GAMP5)这一国际通用的计算...2010版药品生产质量管理规范(GMP)附录《计算机化系统》的颁布,为我国制药行业计算机化系统的管理提出了要求。而其中计算机化系统验证的水平是国内药品生产企业的短板。基于《良好自动化生产实践指南(5版)》(GAMP5)这一国际通用的计算机化系统验证指南,本文以4类软件中最为复杂的SAP(即system applications and products)软件验证为例,具体说明如何实施计算机化系统验证。展开更多
This paper addresses sparse channels estimation problem for the generalized linear models(GLM)in the orthogonal time frequency space(OTFS)underwater acoustic(UWA)system.OTFS works in the delay-Doppler domain,where tim...This paper addresses sparse channels estimation problem for the generalized linear models(GLM)in the orthogonal time frequency space(OTFS)underwater acoustic(UWA)system.OTFS works in the delay-Doppler domain,where timevarying channels are characterized as delay-Doppler impulse responses.In fact,a typical doubly spread UWA channel is associated with several resolvable paths,which exhibits a structured sparsity in the delayDoppler domain.To leverage the structured sparsity of the doubly spread UWA channel,we develop a structured sparsity-based generalized approximated message passing(GAMP)algorithm for reliable channel estimation in quantized OTFS systems.The proposed algorithm has a lower computational complexity compared to the conventional Bayesian algorithm.In addition,the expectation maximum algorithm is employed to learn the sparsity ratio and the noise variance.Simulation and experimental results show that the proposed algorithm has superior performance and low computational complexity for quantized OTFS systems.展开更多
文摘2010版药品生产质量管理规范(GMP)附录《计算机化系统》的颁布,为我国制药行业计算机化系统的管理提出了要求。而其中计算机化系统验证的水平是国内药品生产企业的短板。基于《良好自动化生产实践指南(5版)》(GAMP5)这一国际通用的计算机化系统验证指南,本文以4类软件中最为复杂的SAP(即system applications and products)软件验证为例,具体说明如何实施计算机化系统验证。
基金supported by National Natural Science Foundation of China(No.62071383)。
文摘This paper addresses sparse channels estimation problem for the generalized linear models(GLM)in the orthogonal time frequency space(OTFS)underwater acoustic(UWA)system.OTFS works in the delay-Doppler domain,where timevarying channels are characterized as delay-Doppler impulse responses.In fact,a typical doubly spread UWA channel is associated with several resolvable paths,which exhibits a structured sparsity in the delayDoppler domain.To leverage the structured sparsity of the doubly spread UWA channel,we develop a structured sparsity-based generalized approximated message passing(GAMP)algorithm for reliable channel estimation in quantized OTFS systems.The proposed algorithm has a lower computational complexity compared to the conventional Bayesian algorithm.In addition,the expectation maximum algorithm is employed to learn the sparsity ratio and the noise variance.Simulation and experimental results show that the proposed algorithm has superior performance and low computational complexity for quantized OTFS systems.
