降低线性调频脉冲压缩信号旁瓣的方法

讨论线性调频脉冲压缩信号距离旁瓣的抑制。研究如何降低小时带积线性调频信号距离旁瓣电平问题,针对该信号频谱矩形特性差,提出了采用频谱修正方法来提高脉冲压缩信号的主副比。该方法具有全数字式处理特点,适宜使用IMS A100器件实现脉冲压缩处理。计算机模拟结果表明,无论是小时带积还是大时带积的线性调频信号,经谱修正后,脉冲压缩信号的主副比均舍得到提高。     

扶贫典型人物事迹电影改编策略探析 ——以黄诗燕为例

国家精准扶贫战略实施过程中涌现了一大批扶贫攻坚的模范人物,黄诗燕就是其中的典型和代表,将其优秀事迹改编成主旋律电影,既能凸显典型人物的榜样作用,又能向世界展现脱贫攻坚的中国经验。黄诗燕事迹的电影改编,其主题表达,要以讲好中国故事为核心,在展示其感人的扶贫事迹同时,向世界传播中国扶贫经验;其人物塑造,要以还原真实、塑造典型为原则,彰显黄诗燕的榜样形象;其剧情设置,应突破传统主旋律电影模式化的叙事手段,以点带面,虚实共构;其影像画面,应利用现实主义手法,通过在地性的空间变化和符号化的典型意象,向世界输出中国影像。如此,电影改编才能产生其应有的社会价值和观影效果。     

Generalized Leverage and its Applications

The generalized leverage of an estimator is defined in regression models as a measure of the importance of individual observations. We derive a simple but powerful result, developing an explicit expression for leverage in a general M -estimation problem, of which the maximum likelihood problems are special cases. A variety of applications are considered, most notably to the exponential family non-linear models. The relationship between leverage and local influence is also discussed. Numerical examples are given to illustrate our results     

Estimation of critical points in the mixture inverse Gaussian model

The maximum likelihood estimation for the critical points of the failure rate and the mean residual life function are presented in the case of mixture inverse Gaussian model. Several important data sets are analyzed from this point of view. For each of the data sets, Bootstrapping is used to construct confidence intervals of the critical points.     

The positive transmission and aesthetic reconstruction of Chinese contemporary films and television works to contemporary college students

The varieties and different form of contemporary films and television works have brought a great impact to the group of college students' ideas and behaviors. The works are the textbook of outlook on life, the guide of values, the leader of outlook on beauty, to contemporary college students. This paper points out that the contemporary film and television works play an important role in the ideological and political education of contemporary college students. For positive transmission and aesthetic reconstruction of Chinese film and television works from the perspective of ideological and political education, one needs to do the following things: to explore new ways of aesthetic education in the Internet era through film and television aesthetic education; Refusing to cultivate the one-dimensional personality in the media age by film and television aesthetic education; To build a new type of film and television aesthetic education system, for a new breakthrough in film and television art classroom, so as to promote the all-round development of contemporary college students in moral, intellectual, physical, beauty, labor.     

Prediction intervals for future Weibull residual data

In reliability theory, risk analysis, renewal processes and actuarial studies, the residual lifetimes data play an important essential role in studying the conditional tail of the lifetime data. In this paper, based on some observed ordered residual Weibull data, we introduce different prediction methods for obtaining prediction intervals (PIs) of future residual lifetimes including likelihood, Wald, moments, parametric bootstrap, and highest conditional methods. Monte Carlo simulations are performed to compare the performances of the so obtained PIs and one data analysis is performed for illustration purposes.     

众语喧哗时代的平民化“交响乐”——解读电影《辛亥革命》

为纪念辛亥革命100周年而拍摄的电影《辛亥革命》,—改传统主旋律电影的套路,意识形态日趋淡化,叙事视角以小见大,审美权重多元均衡。这表明,我国主旋律电影其宏观意识形态和历史观点一直呈现出进步的态势。     

Bias correction for parameter estimates of spatial point process models

When a spatial point process model is fitted to spatial point pattern data using standard software, the parameter estimates are typically biased. Contrary to folklore, the bias does not reflect weaknesses of the underlying mathematical methods, but is mainly due to the effects of discretization of the spatial domain. We investigate two approaches to correcting the bias: a Newton–Raphson-type correction and Richardson extrapolation. In simulation experiments, Richardson extrapolation performs best.     

“Open to all and everybody”? The Irish Film Board: accounting for the scarcity of women screenwriters

Despite the many social and cultural changes that have occurred in Irish society since the Irish Film Board was re-established in 1993, the Irish film industry remains strongly male dominated. Specifically, Irish women constitute a minority of produced screenwriters and writer/directors. This article contributes to an understanding of the discursive resources that key decision makers in the Irish Film Board draw upon in order to talk about gender. A number of interpretative repertoires are used to rationalize its position in relation to the dearth of women screenwriters, four of which are examined here: evasion and deflection; gender neutrality; project-led funding; and a difficulty making sense of entrenched gender issues, articulated here as “I don’t know.” Within the respondents’ repertoires an ideological dilemma can be identified in the conceptualization of gender as both relevant and irrelevant.     

Testing dominance of biometric functions

The hazard rate (HR) and mean residual lifetime are two of the most practical and best-known functions in biometry, reliability, statistics and life testing. Recently, the reversed HR function is found to have interesting properties useful in additional areas such as censored data and forensic science. For these three biometric functions, we propose testing methods that they take on a known functional form against that they dominate or are dominated by this known form. This goodness-of-fit-type testing is wider in applications and more interesting than the long-standing testing procedures for exponentiality against the monotonicity of these functions or even the change point problems. This is so since we can test against any choice of the survival distribution and not just exponentiality. For this general testing, we present easy to implement tests and generalize them into classes of statistics that could lead to more powerful and efficient testing.