Reducing the error of sensitive parameters by studying the parameters sensitivity can reduce the uncertainty of the model,while simulating double-gyre variation in Regional Ocean Modeling System(ROMS).Conditional Nonl...Reducing the error of sensitive parameters by studying the parameters sensitivity can reduce the uncertainty of the model,while simulating double-gyre variation in Regional Ocean Modeling System(ROMS).Conditional Nonlinear Optimal Perturbation related to Parameter(CNOP-P)is an effective method of studying the parameters sensitivity,which represents a type of parameter error with maximum nonlinear development at the prediction time.Intelligent algorithms have been widely applied to solving Conditional Nonlinear Optimal Perturbation(CNOP).In the paper,we proposed an improved simulated annealing(SA)algorithm to solve CNOP-P to get the optimal parameters error,studied the sensitivity of the single parameter and the combination of multiple parameters and verified the effect of reducing the error of sensitive parameters on reducing the uncertainty of model simulation.Specifically,we firstly found the non-period oscillation of kinetic energy time series of double gyre variation,then extracted two transition periods,which are respectively from high energy to low energy and from low energy to high energy.For every transition period,three parameters,respectively wind amplitude(WD),viscosity coefficient(VC)and linear bottom drag coefficient(RDRG),were studied by CNOP-P solved with SA algorithm.Finally,for sensitive parameters,their effect on model simulation is verified.Experiments results showed that the sensitivity order is WD>VC>>RDRG,the effect of the combination of multiple sensitive parameters is greater than that of single parameter superposition and the reduction of error of sensitive parameters can effectively reduce model prediction error which confirmed the importance of sensitive parameters analysis.展开更多
完成了一种基于ROM结构的直接数字频率合成器(Direct Digital Synthesizer,DDS)的ASIC设计。其中累加器采用进位链和流水线相结合的方式,提高了工作频率的同时降低了资源占用率;ROM模块应用以正弦函数1/4波形对称性为基础,并结合Hutchi...完成了一种基于ROM结构的直接数字频率合成器(Direct Digital Synthesizer,DDS)的ASIC设计。其中累加器采用进位链和流水线相结合的方式,提高了工作频率的同时降低了资源占用率;ROM模块应用以正弦函数1/4波形对称性为基础,并结合Hutchison相交分离法的改进压缩算法,压缩率达到49倍,降低了芯片的功耗和面积。基于SMIC 0.18μm CMOS工艺库完成了后端物理设计和后仿真。该DDS功耗低,面积小,频率分辨率高,可作为高质量的信号源应用于4G移动通信中。展开更多
基金Supported by the National Natural Science Foundation of China(No.41405097)the Fundamental Research Funds for the Central Universities of China in 2017
文摘Reducing the error of sensitive parameters by studying the parameters sensitivity can reduce the uncertainty of the model,while simulating double-gyre variation in Regional Ocean Modeling System(ROMS).Conditional Nonlinear Optimal Perturbation related to Parameter(CNOP-P)is an effective method of studying the parameters sensitivity,which represents a type of parameter error with maximum nonlinear development at the prediction time.Intelligent algorithms have been widely applied to solving Conditional Nonlinear Optimal Perturbation(CNOP).In the paper,we proposed an improved simulated annealing(SA)algorithm to solve CNOP-P to get the optimal parameters error,studied the sensitivity of the single parameter and the combination of multiple parameters and verified the effect of reducing the error of sensitive parameters on reducing the uncertainty of model simulation.Specifically,we firstly found the non-period oscillation of kinetic energy time series of double gyre variation,then extracted two transition periods,which are respectively from high energy to low energy and from low energy to high energy.For every transition period,three parameters,respectively wind amplitude(WD),viscosity coefficient(VC)and linear bottom drag coefficient(RDRG),were studied by CNOP-P solved with SA algorithm.Finally,for sensitive parameters,their effect on model simulation is verified.Experiments results showed that the sensitivity order is WD>VC>>RDRG,the effect of the combination of multiple sensitive parameters is greater than that of single parameter superposition and the reduction of error of sensitive parameters can effectively reduce model prediction error which confirmed the importance of sensitive parameters analysis.
文摘完成了一种基于ROM结构的直接数字频率合成器(Direct Digital Synthesizer,DDS)的ASIC设计。其中累加器采用进位链和流水线相结合的方式,提高了工作频率的同时降低了资源占用率;ROM模块应用以正弦函数1/4波形对称性为基础,并结合Hutchison相交分离法的改进压缩算法,压缩率达到49倍,降低了芯片的功耗和面积。基于SMIC 0.18μm CMOS工艺库完成了后端物理设计和后仿真。该DDS功耗低,面积小,频率分辨率高,可作为高质量的信号源应用于4G移动通信中。
