单片微机MCS-51实时测量系统中一批数据的一种数字滤波方法

提出了一种在单片微机实时测量系统中对成批数据进行二次算术平均数字滤波的一种方法，具有节省内存、编程简洁、运行较快的特点，滤波系数ｎ，ｍ和采样间隔ＴＳ通过键盘设置，是对在一定范围内波动变化的参量进行预处理的一种较好方法     

宽带数字下变频的高效实现方法研究

针对软件无线电接收机中数字下变频的特点,提出了一种合理的基于FPGA实现宽带数字下变频的方案,即分级实现以降低抗混叠滤波器的阶数;并且每级采用不同算法实现滤波抽取以占用不同资源,从而实现FPGA总体资源的合理、高效利用。另外,论述了一种适合FIR抽取滤波器的算法——时钟选择运算法,并通过Altera公司的EP2S60F484C4对该算法进行了测试,验证了它的高效性。     

Computational methods for complex stochastic systems: a review of some alternatives to MCMC

We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situations they can be difficult to implement; and suffer from problems such as poor mixing, and the difficulty of diagnosing convergence. Here we review three alternatives to MCMC methods: importance sampling, the forward-backward algorithm, and sequential Monte Carlo (SMC). We discuss how to design good proposal densities for importance sampling, show some of the range of models for which the forward-backward algorithm can be applied, and show how resampling ideas from SMC can be used to improve the efficiency of the other two methods. We demonstrate these methods on a range of examples, including estimating the transition density of a diffusion and of a discrete-state continuous-time Markov chain; inferring structure in population genetics; and segmenting genetic divergence data.     

Graphical Techniques for Selecting Explanatory Variables for Time Series Data

Bayesian model building techniques are developed for data with a strong time series structure and possibly exogenous explanatory variables that have strong explanatory and predictive power. The emphasis is on finding whether there are any explanatory variables that might be used for modelling if the data have a strong time series structure that should also be included. We use a time series model that is linear in past observations and that can capture both stochastic and deterministic trend, seasonality and serial correlation. We propose the plotting of absolute predictive error against predictive standard deviation. A series of such plots is utilized to determine which of several nested and non-nested models is optimal in terms of minimizing the dispersion of the predictive distribution and restricting predictive outliers. We apply the techniques to modelling monthly counts of fatal road crashes in Australia where economic, consumption and weather variables are available and we find that three such variables should be included in addition to the time series filter. The approach leads to graphical techniques to determine strengths of relationships between the dependent variable and covariates and to detect model inadequacy as well as determining useful numerical summaries.     

FL115离心式机油滤清器的特性研究与试验分析

建立了分流离心式滤清器转速特性和液力特性的数学模型.通过试验得到FL115离心式滤清器在不同喷嘴口径以及不同温度工况下的转速特性曲线和液力特性曲线,以及滤清效率.分析了转子转速、驱动流量和进油压力三者之间的关系,推出了设计喷嘴的最佳口径范围.通过理论数据与试验数据的比较,证明了该数学模型可以作为研发离心式滤清器的设计参考.     

一种准最佳数字传输系统的性能分析与实现

提出一种在数字传输系统中易于实现的发、收滤波器特性的准最佳分配方案:将信道升余弦滚降特性和宽码输入补偿网络特性都以平方根形式均分于发、收两端。分析和计算了这种系统的等效信噪比损失;用计算机优化方法设计了形成滤波器;最后计算了此系统残存符号间干扰所引起的损失。     

一种适用于远程医疗的水印算法

研究了脑电图(EEG)的水印算法,提出了一种基于自适应滤波的数字水印算法。实验仿真结果表明水印是不可见的,经过低通滤波、中值滤波、维纳滤波、JPEG压缩、小角度旋转等图像处理操作后仍可检验出水印,比空域算法有更高的鲁棒性。     

输入假说与情感过滤假说对大学英语教学的启示

介绍了克拉中第二语言习得五大假说中的输入假说与情感过滤假说，并着重论述了主要影响课堂教学的这两大因素对我国英语教学的启示，探讨了它们在课堂教学中的运用。     

进口对辽宁省经济增长贡献度的实证分析——基于时变参数卡尔曼滤波的估计

为了探寻辽宁对外经济发展的合理模式，从进口与经济增长间的关系入手，选用1985～2007年辽宁省的进口和地区生产总值数据，利用时变参数的分析方法对二者进行相关性分析，得出了进口对辽宁省的经济增长存在促进作用，而且这种作用随时递增的结论。因此，辽宁省应充分发挥进口对经济增长的积极作用，以快速实现辽宁老工业基地的振兴。     

中国农业产出缺口测算及其价格效应研究————基于劳动力有限供给视角

城镇化和工业化吸收了大量农村剩余劳动力,导致农业生产投入要素失衡,加剧了农副产品消费需求和产出供给的矛盾,产生价格上涨压力。基于“缺口-价格”模型的实证研究显示,负向农业产出缺口对农副产品价格具有滞后1-3期的直接正效应,18个省份分地区面板回归验证了直接价格效应的存在且滞后期为3-4期;工农业产出缺口存在长期均衡关系,但短期内两者的影响弹性不显著。由此可知,农业产出缺口对通货膨胀存在直接效应和间接效应,治理通胀要从加大农业生产扶持、协调工农业生产和畅通农副产品流通渠道入手。