Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle

This paper presents a novel hierarchical least squares algorithm for a class of non-uniformly sampled systems. Based on the hierarchical identification principle, the identification model with a high dimensional parameter vector is decomposed into a group of submodels with lower dimensional parameter vectors. By using the least squares method to identify the submodels and taking a coordinated measure to address the associated items between the submodels, all the system parameters can be estimated. The proposed algorithm can save the computation cost. The performance analysis indicates that parameter estimates converge to their true values. The simulation tests confirm the convergence results.     

A novel channel-identification method for wireless communication systems

We present a novel dual-channel identification approach for mobile wireless communication systems. Unlike traditional channel-estimation methods that rely on training symbols, we propose a bent-pipe feedback mechanism which requires the mobile station (MS) to send portions of its received signal back to the base station (BS) for wireless channel identification. Using a filter-bank decomposition concept, we introduce an effective algorithm that can identify both the forward and the reverse channels based only on this feedback information. This new method permits transfer of computational burden from the MS to the resource-rich BS, and leads to significant savings in bandwidth-consuming training signals.     

Least squares based and gradient based iterative identification for Wiener nonlinear systems

This paper derives a least squares-based and a gradient-based iterative identification algorithms for Wiener nonlinear systems. These methods separate one bilinear cost function into two linear cost functions, estimating directly the parameters of Wiener systems without re-parameterization to generate redundant estimates. The simulation results confirm that the proposed two algorithms are valid and the least squares-based iterative algorithm has faster convergence rates than the gradient-based iterative algorithm.     

A Generic Construction of Cartesian Authentication Codes

In this paper, a coding-theory construction of Cartesian authentication codes is presented. The construction is a generalization of some known constructions. Within the framework of this generic construction, several classes of authentication codes using certain classes of error-correcting codes are described. The authentication codes presented in this paper are better than known ones with comparable parameters. It is demonstrated that the construction is related to certain combinatorial designs, such as difference matrices and generalized Hadamard matrices     

互连电缆电磁辐射的抑制方法研究

在电子设备的电磁兼容(EMC)测试中,被测设备(EUT)的互连电缆电磁辐射较难抑制.本文通过交调干扰分析得出EUT内部的可能产生的频谱,并对这些频谱进行滤波处理,使其耦合到电缆线上的电磁辐射较小,同时对电缆上的电磁辐射进行屏蔽处理,保证EUT能通过EMC的辐射发射测试.     

FloatBag选择性神经网络集成及其在人脸检测中的应用

神经网络集成利用多个神经网络对同一个问题进行学习,集成在某输入示例下的输出由构成集成的各神经网络在该示例下的输出共同决定.本文提出利用FloatBag的方法择优选择个体神经网络,进而用平均值的方法组合各个体网络.最后,我们将FloatBag方法应用于多角度人脸检测中.实验证明,这种方法优于一般的神经网络集成方法.     

在PCB中集成光数据流的制造

介绍了在PCB中采用埋入光互连波导形成集成光数据流的技术。     

先进的刚-挠性PCB新材料和积层结构

介绍了具有可弯曲的和可用于HDI板积层的新材料而生产的阶跃式刚-挠性PCB.这种新材料既可用于HDI的积层上,又可以应用刚性HDI的设计规则进行设计和采用刚性PCB生产技术与工艺进行生产.     

对测试库房UPS供电系统接地的方案设计

概述了各种接地制式的低压配电系统,指出它们的应用范围。根据测试库房实际要求设计合理的接地系统,有效净化了UPS的供电环境,提高了供电的安全性。     

磁引信应用中的壳体屏蔽效应分析

针对磁引信在应用中遇到的壳体屏蔽问题,提出将引信体近似为回转椭球壳体模型,从理论上详细地分析了椭球壳体在均匀磁场中的屏蔽效应,给出了相应的屏蔽系数公式;并通过试验验证了理论分析的正确性.该研究分析对磁引信体的选材、结构设计及所测得的磁信号处理都有重要的意义.