单增序列灰色GM(1,1)模型解之间的误差分析

针对单调增长原始数据序列, 文章在理论上讨论白化型与内涵型GM(1,1)(grey forecasting model)模型解之间的相对误差. 在推导出两个模型解之间的相对误差上界表达式的基础上, 作者研究了相对误差上界函数的性质, 讨论了相对误差一致上界关于原始数据序列长度n的单调性. 结果表明当发展系数位于[-1/(n+1),0]内时, 白化型与内涵型GM(1,1)模型解之间的相对误差上界是0.9%,可以合理使用白化模型代替内涵模型; 而发展系数在区间[-2/(n+1),0]内时, 这两个模型解之间的相对误差可能达到8.64%, 此时白化模型代替内涵模型须较谨慎地使用.     

利用GMM逼近的协整分析推广

将Quintos研究的一类向量误差校整模型，推广到其协整向量满足某种线性限制的情形，并讨论协整向量的收敛性和极限分布，得到了相应的结论。     

AHR伺服模板电流环的研究

本文通过对法国ＡＬＳＴＨＯＭ公司生产的ＡＨＲ伺服控制电路进行分析，确定了其电流环及ＰＷＭ电路的校正方案及参数整定方法。     

基于VXI总线的光接口板测试系统的研制

介绍了一个基于ＶＸＩ总线的通信产品自动测试系统。其主要设计目标是完成Ｃ＆Ｃ０８数字程控交换系统光接口板的误码特性和时钟性能测试。     

线性Sobolev方程的全离散间断有限体积元方法

笔者给出了线性Sobolev方程后退Euler全离散间断有限体积元格式，得到了该格式的最优L^2模和离散H^1模估计．     

The Synthetic Effect of Magnetorheological Finishing Technology: Analysis,Modeling,and Control

The controllable key factors in magnetorheological finishing device were studied to determine their influence on efficiency of magnetorheological finishing (MRF) and surface of MRF,as well as interaction between efficiency and surface. Based on theoretical and experimental research,the law of material removal was explored and a new process variable based material removal model (PVMR) was proposed. The experimental findings demonstrate that PVMR reveals the law of the material removal with introduction of three concepts and makes a material removal function z (yi) where the magnetorheological finishing process parameters are considered since they are easy to control and adjust. So the material function of this model is quadratic curve function which is readily suitable for stability and online control magnetorheological finishing.     

A计权电路对p-p声强法测量精度的影响

与数字计权相比,模拟计权电路具有稳定可靠、实时性高、动态范围宽等优点。文章对A计权电路参数进行了计算,分析了电路幅值、相特性对声强测量系统测量精度的影响,给出了电路参数调整策略,并最终对其产生的声强测量不确定度进行了评定。结果表明,通过对器件的筛选、改变隔离棒长度和微调电阻,可有效控制电路对声强测量精度的影响。     

粗差检测、定位方法的研究

粗差检测是保证测量成果质量的基本措施,本文主要总结了国内外学者对一维粗差和多维粗差检测、定位方法的研究.     

Multi-Level Error Detection and Concealment Algorithm to Improve Speech Quality in GSM Full Rate Speech Codecs

Digital mobile telecommunication systems, such as the global system for mobile (GSM) system, want to further improve speech communication quality without changing the channel encoders and decoders. Speech quality is most affected by residual bit errors in received speech frames. Conventional methods use binary decision strategies for error detection and concealment in frames. This paper presents a multi-level error detection and concealment algorithm for GSM full rate speech codec systems. The algorithm use...     

Experimental Study of Discriminative Adaptive Training and MLLR for Automatic Pronunciation Evaluation

A stronger canonical model was developed to improve the performance of automatic pronunciation evaluations.Three different strategies were investigated with speaker adaptive training to normalize variations among speakers,minimum phone error training to identify easily confused phones and maximum likelihood linear regression(MLLR) adaptation to compensate for accent variations between native and non-native speakers.The three schemes were combined to improve the correlation coefficient between machine scores and human scores from 0.651 to 0.679 on the sentence level and from 0.788 to 0.822 on the speaker level.