基于BAM的通信信号分类方法

针对密集战术通信信号的实时分选问题,提出了采用TMS320C25开发系统为预处理器,BAM/NBAM(双向联想存储器/新型双向联想存储器)为信号分类器的新型分类系统结构,并分析了信号特征及提取方法。对BAM/NBAM作为信号分类器的结构、原理、性能作了探讨。结果表明,基于BAM/NBAM的通信信号分类方法是有效的,其性能优于传统的线性分类方法。     

市场预测中马尔科夫链转移概率的估计

针对马尔科夫链运用于市场预测的关键问题，导出了最小二乘意义下的状态转移概率矩阵估计公式，并对特殊情况下实际常用的状态转移概率矩阵估算公式给出了理论证明。     

The dilation phenomenon in robust Bayesian inference

Upper and lower probabilities may become uniformly less precise after conditioning. We call this dilation. We review some results about dilation, present some examples and explore the effect of Bayesian updating. Also, we show a connection between dilation and nonconglomerability. Finally, we consider the implications of this phenomenon.     

最大似然估计在GPS定位中的应用研究

讨论了基于ｎ（ｎ≥４）个伪距测量值的最大似然定位原理和定位误差分析，并给出了根据可见卫星个数，自适应调整定位面数目的最大似然估计定位的算法。精度分析中，将标准的利用四颗卫星信号定位，利用五颗卫星信号的最大似然定位同利用所有可见卫星信号的自适应最大似然定位进行了比较，分析表明，与标准的四颗卫星定位相比，ＧＰＳ自适应最大似然定位可改善定位精度１２ｍ（ＣＥＰ）。     

Denoising radiocommunications signals by using iterative wavelet shrinkage

Summary. Radiocommunications signals pose particular problems in the context of statistical signal processing. This is because short-term fluctuations (noise) are a consequence of atmospheric effects whose characteristics vary in both the short and the longer term. We contrast traditional time domain and frequency domain filters with wavelet methods. We also propose an iterative wavelet procedure which appears to provide benefits over existing wavelet methods.     

Direct Modelling of Regression Effects for Transition Probabilities in Multistate Models

Abstract.  A simple and standard approach for analysing multistate model data is to model all transition intensities and then compute a summary measure such as the transition probabilities based on this. This approach is relatively simple to implement but it is difficult to see what the covariate effects are on the scale of interest. In this paper, we consider an alternative approach that directly models the covariate effects on transition probabilities in multistate models. Our new approach is based on binomial modelling and inverse probability of censoring weighting techniques and is very simple to implement by standard software. We show how to do flexible regression models with possibly time-varying covariate effects.     

On the Superiority of a Variable Sampling Interval Control Chart

The paper establishes the analytical grounds of the uniform superiority of a variable sampling interval (VSI) Shewhart control chart over the conventional fixed sampling interval (FSI) control chart, with respect to the zero-time performance, for a wide class of process distributions. We provide a sufficient condition on the distribution of a control chart statistic, and propose a criterion to determine the control limits and the regions in the in-control area of the VSI chart, corresponding to the different sampling intervals used by it. The condition and the criterion together ensure the uniform zero-time superiority of the VSI chart over the matched FSI chart, in detecting a process shift of any magnitude. It is shown that normal, Student's t and Laplace distributions satisfy the sufficient condition. In addition, chi-square, F and beta distributions satisfy it, provided that these are not extremely skewed. Further, it is illustrated that the superiority of the VSI feature is not trivial and cannot be assured if the sufficient condition is not satisfied or the control limits and the regions are not determined according to the proposed criterion. An application of the result to confirm the superiority of the VSI feature is demonstrated for the control chart for individual observations used to monitor a milk-pouch filling process.     

Expressing Economic Risk—Review and Presentation of a Unifying Approach

Risk related to economic values is treated by many disciplines, including safety and production engineering, business, and project management. Within each of these and across these disciplines different nomenclature and principles are adopted for describing and communicating risk. The situation is rather confusing. In this article, we review various approaches and concepts that are used to express risk. We present and discuss a unifying approach for dealing with economic risk, with uncertainty being the key risk concept. The approach represents a rethinking on how to implement the Bayesian paradigm in practice to support decision making.     

马尔科夫链在市场预测中的作用

马尔科夫链预测法是一种适用于随机过程的科学、有效的动态预测方法,其基本原理和方法可用来预测企业产品的市场占有率。在运用马尔科夫链对市场占有率进行预测时,应做好市场调查工作,并借助计算机和简捷表加以计算。     

一种改进的线性容差电路的k-故障诊断

提出了一种改进的线性容差电路的k-故障诊断方法。与现有方法相比,较多地利用了已知的统计特性,缩小了电路可能的故障范围。同时,还证明了故障诊断与信号解卷积模型的相似性,将信号处理领域的方法引入线性电路故障诊断中。计算机模拟实验证实了该方法的有效性。