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海洋混响数据的SαS分布建模 被引量:1
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作者 王平波 卫红凯 +1 位作者 娄良轲 代振 《哈尔滨工程大学学报》 EI CAS CSCD 北大核心 2021年第1期55-60,共6页
为了有效抑制主动声呐混响,新型统计信号处理设计中常对海洋混响进行非高斯概率密度建模,本文在考察分析海洋混响数据的特点和SαS分布的优势之后,将SαS分布引入到混响非高斯概率密度建模中,给出了2种模型参数估计方法,并使用仿真和实... 为了有效抑制主动声呐混响,新型统计信号处理设计中常对海洋混响进行非高斯概率密度建模,本文在考察分析海洋混响数据的特点和SαS分布的优势之后,将SαS分布引入到混响非高斯概率密度建模中,给出了2种模型参数估计方法,并使用仿真和实测数据进行了验模,通过大量海试混响数据建模结果分析,对混响数据的SαS分布规律进行归纳总结。研究表明:SαS分布能够较好描述海洋混响的概率密度,其特征指数近半数集中在1.6~1.9。 展开更多
关键词 对称α稳定分布(SαS) 高斯 声呐 非高斯 海洋混响 概率密度建模
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Applying the Non-homogeneous Stochastic Gompertz Process for Modeling Populations
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作者 Maria Dolores Huete-Morales Francisco Abad Montes 《Chinese Business Review》 2011年第4期311-316,共6页
It is a well known fact that studies on growth primarily take into account human populations, although currently many scientific fields (biology, economics, etc.) also use growth models to reflect behaviours in dive... It is a well known fact that studies on growth primarily take into account human populations, although currently many scientific fields (biology, economics, etc.) also use growth models to reflect behaviours in diverse phenomena. These deterministic models are difficult to apply in real populations since, as we know, the volume of a human population depends intrinsically on a large number of other socio-economic variables, including changes in fertility patterns, improvements in living conditions, individual health factors which produce an increase or decrease in the number of years lived, the state of economic well-being, or changes in migratory fluxes. In this study, we have examined the stochastic Gompertz non-homogenous diffusion process, analysing its transition probability density function and conducting inferences on the parameters of the process through discrete sampling All of the results are applied to the population of Andalusia with data disaggregated by sex during the period of 1981 to 2002, taking purely demographic variables as exogenous factors: life expectancy at birth, foreign immigration to Andalusia and total fertility rate 展开更多
关键词 Gompertz diffusion process exogenous factors DEMOGRAPHY POPULATION
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