基于Turbo码的CBTC系统安全信息传输研究

针对城市轨道交通的无线列车控制系统(CBTC)中基于无线信道的信息安全传输问题,提出了基于Turbo码的CBTC无线信道的安全信息传输控制方案,并分别采用Bi-SOVA译码算法、SOVA译码算法、MAP译码算法及对数域Max-Log-MAP译码算法等进行了仿真测试与比较分析.仿真结果表明,所提出的基于Turbo码的传输控制方案能够有效地满足CBTC安全信息传输的误码率要求,并且在所采用的译码算法中,Bi-SOVA算法和Max-Log-MAP算法具有较好的误码率性能.因此,在无线列车控制系统的信息传输中用Turbo码来代替传统的CRC码进行差错控制是合理而有效的.     

使用SIMULINK构建Turbo码仿真系统

本文在介绍了Turbo码的码编译码原理之后,详细介绍了如何基于SIMULINK构建一个完整Turbo码编译码以及在信道中传输的仿真系统,并且通过仿真分析了Turbo码交织器大小、传输信道、译码算法等因素对Turbo码性能的影响。     

WCDMA中Turbo码质数交织器的研究与仿真

Turbo码是一种前向信道纠错码。它比卷积码有更高的译码增益,译码性能几乎接近Shannon理论极限,从而在信道的传输中具有更高的可靠性,适用于传输速率较高的业务。它优越的性能引起了人们广泛的关注。但由于Turbo码译码算法相对复杂,造成的译码时延比较大,Turbo码往往不适用于对实时性要求高的业务。WCDMA系统中使用Turbo码传输32khps及以上的业务。文中介绍了WCDMA中所采用的Turbo码编码结构中的质数交织器,利用MATLAB仿真,分析交织长度对Turbo码性能的影响,并通过与其他类型交织器性能上的比较,验证了质数交织器在WCDMA系统中的性能优势。     

Turbo乘积码在卫星通信中的应用分析

Turbo乘积码在卫星通信中起到很强的纠错作用,其编译码性能的好坏直接影响到卫星通信信号的传输质量。通过对Turbo乘积码Chase译码算法的分析和改进,得出了译码算法中各个参数的选择对译码性能的影响的仿真实验结果,并对实际的卫星通信信号进行仿真实验,对仿真结果进行性能分析,验证了Turbo乘积码可以得到很好的译码结果。     

基于格雷码的无人机图像传输自适应译码算法

传统的无人机与地面接收机之间的信道编码采用Turbo码、LDPC码等.Turbo码和LDPC码译码复杂、实时性不足、硬件成本高,其中LDPC码在高信噪比时候易导致错误地板.格雷码运算复杂度低,运算时间少,硬件实现简单且功耗也相对更低.针对这一现状,本文提出了基于格雷码的无人机图像传输自适应译码算法.在格雷码软硬判决译码算法的基础上设计了依据奇偶校验位的译码判决机制.仿真结果表明,该算法复杂度低、运行速度快、可靠性好,硬件成本低,可在满足图像精度需求下自适应地选择合适的解码方法,提高解码速度.     

一种新的Turbo码译码迭代停止准则

介绍了Turbo码编码与译码原理。针对传统停止迭代准则译码耗费硬件资源的不足,提出了利用外部信息结合交叉熵迭代停止准则作为新的迭代停止准则算法。仿真分析结果显示：新的迭代停止准则可在不同的信噪比情况下,保证迭代次数适中并确保译码性能的稳定,应用该算法既可提高无线通信的数据传输质量、减小系统传输时延,又可最大限度地节约硬件资源。     

突发通信中Turbo码的FPGA实现

给出了低复杂度和低延迟的Turbo码编译码的FPGA实现方案,方案中分量码译码算法采用Max-Log-Map算法。基于提出的设计方案,在Xilinx的FPGA芯片上实现了帧长在64～1024之间可变的短帧长Turbo编译码模块。仿真和测试结果表明,该模块的误码率性能优良、译码延时较小、数据吞吐量大,可用于低信噪比条件下突发数据通信中的差错控制。     

低信噪比通信系统中Turbo码应用仿真

由于Turbo码能得到较大的编码增益,因此许多低信噪比通信系统中都选择了Turbo作为信道编码。本文在简要介绍Turbo码的编译码原理的基础上,对Turbo码在通信系统中的应用进行了仿真,重点分析分析了译码方法、译码迭代次数、码率对Turbo性能的影响。     

TD-LTE系统中Turbo译码算法及DSP实现

在TD-LTE系统中,Turbo码以其优异的纠错性能而备受关注。针对传统Log-Map算法译码复杂度大且时延长的缺点,提出一种简化的Log-Map算法。在高斯白噪声信道(AWGN)环境下,对各种Turbo译码算法性能进行了仿真比较,并对提出的简化译码算法在TMS320C64xDSP中进行实现。译码程序在CCS3.3的运行结果表明了该方案的实时性和有效性。     

面向芯片实现的LTE Turbo码参数优化设计

该文分析了LTE系统中Turbo码的译码,并针对定点运算的特点进行了改进。通过大量的仿真确定了定点LOG-MAP译码算法的关键参数。量化比特数和AWGN中GAIN值,外在(extrinsic)信息因子以及定点化、归一化、溢出处理等操作,这些处理使得该译码算法在译码性能上接近浮点LOG-MAP译码算法,对于Turbo译码在硬件上的实现具有一定的参考价值。     

纯量反馈系统稳定零极近似相消的积分约束

导出了单输入单输出反馈控制系统误差响应基于名义系统稳定的零、极点近似相消的时间域积分约束，此积分约束是任何反馈控制系统均应满足的．这一约束给出了单输入单输出反馈系统固有折中的新的观点．名义系统稳定的零、极点近似相消的存在导致反馈控制系统的调节时间延长或者误差响应的无穷范数变大．因此，在反馈控制系统设计中，尽量避免补偿器的零、极点与名义系统的极、零点近似相消(即使这些零、极点是稳定的)．     

区域生长辅助的地图配准在室内定位中的应用

地图匹配（ MM）算法通过粒子滤波（ PF）利用室内地图信息来抑制基于惯性传感器的室内定位系统的误差累计。利用区域生长（ RG）算法结合当前步长和方向信息在地图上找到合理的落脚范围,并以此来判断粒子的有效性。这种方法能有效改善地图配准算法的实用性和计算复杂度。提出一种改进的零速度（ ZV）检测算法能准确提取步伐信息,间接提升了零速度更新（ ZUPT）算法和地图配准算法的精度。实验结果表明：该算法的定位误差小于1.0%,定位精度比单纯的航位推算（ DR）算法平均提高了5.97%。     

The impact of intellectual capital on the competitive advantage: Applied study in Jordanian telecommunication companies

This research investigates the impact of intellectual capital components on the competitive advantage in the Jordanian telecommunication companies. The empirical findings indicate that the relational capital and the structural capital have positive impact on competitive advantage. Both the relational capital and the structural capital account for 48.4% of the competitive advantage. It is unexpected to find that the human capital does not have a significant direct impact on competitive advantage. However, it is valid to state that the human capital indirectly and significantly influences competitive advantage as it is embedded in the relational capital. The effect of the relational capital on competitive advantage is moderated by gender and age. The effect is strongest among younger men. In the case of the structural capital its effect is moderated by gender only such that the effect is slightly stronger for females rather than males.     

基于KW、MW及DW的决策支持系统架构研究

SDSS是较为先进的决策支持系统，但由于其模型库中的模型固定不变，因此在实际应用中具有一定的局限性。提出了集成数据仓库DW、知识仓库KW和模型仓库MW作为底部架构的体系结构，能有效解决这一问题。该架构简化了模型获得和编码任务，增强了决策的有效性和智能性，提高了决策效率。     

基于多智体多库协同的一种虚拟现实仿真界面构建技术

一、引言计算机仿真接口界面,随着计算机软硬件的不断提高也在快速地变化着。从其发展趋势中我们不难看出这一点:从早期的命令行提示编辑Command Line,到全屏幕菜单编辑(Menu based Editor),再到图形用户界面Graphic User In-terface(GUI),界面在不断追求如何更好地适应用户、与用户更直接地交互。其具体特点包括自然而又丰富的色彩、逼真而又完美的几何造型、柔和而又动听的环境声响、质感而又具有力反馈的实物等。这些人们所需要的真实感,一种技术是难以胜任的,它需要各种软、硬件技术的综合与集成。从目前的趋     

An efficient soft-computing technique for extraction of EEG signal from tainted EEG signal

Electroencephalography (EEG) is the recording of electrical activity of neurons within the brain and is used for the evaluation of brain disorders. But, EEG signals are contaminated with various artifacts which make interpretation of EEGs clinically difficult. In this research paper, we use a soft-computing technique called ANFIS (Adaptive Neuro-Fuzzy Inference System) for the removal of EOG artifact, combined EOG and EMG artifact. Improvement in the output signal to noise ratio and minimum mean square error are used as the performance measures. The outputs of the proposed technique are compared with the outputs of techniques such as neural network, based on ADALINE (Adaptive Linear Neuron) and adaptive filtering method, which makes use of RLS (Recursive Least Squares) algorithm through wavelet transform (RLS-Wavelet). The obtained results show that the proposed method could significantly detect and suppress the artifacts.     

A divide and conquer matheuristic algorithm for the Prize-collecting Steiner Tree Problem

The Prize-collecting Steiner Tree Problem (PCSTP) is a well-known problem in graph theory and combinatorial optimization. It has been successfully applied to solve real problems such as fiber-optic and gas distribution networks design. In this work, we concentrate on its application in biology to perform a functional analysis of genes. It is common to analyze large networks in genomics to infer a hidden knowledge. Due to the NP-hard characteristics of the PCSTP, it is computationally costly, if possible, to achieve exact solutions for such huge instances. Therefore, there is a need for fast and efficient matheuristic algorithms to explore and understand the concealed information in huge biological graphs. In this study, we propose a matheuristic method based on clustering algorithm. The main target of the method is to scale up the applicability of the currently available exact methods to large graph instances, without loosing too much on solution quality. The proposed matheuristic method is composed of a preprocessing procedures, a heuristic clustering algorithm and an exact solver for the PCSTP, applied on sub-graphs. We examine the performance of the proposed method on real-world benchmark instances from biology, and compare its results with those of the exact solver alone, without the heuristic clustering. We obtain solutions in shorter execution time and with negligible optimality gaps. This enables analyzing very large biological networks with the currently available exact solvers.     

Wavelet-based envelope features with automatic EOG artifact removal: Application to single-trial EEG data

In this study, we propose an analysis system for single-trial classification of electroencephalogram (EEG) data. Combined with automatic EOG artifact removal and wavelet-based amplitude modulation (AM) features, the support vector machine (SVM) classifier is applied to the classification of left finger lifting and resting. Automatic EOG artifact removal is proposed to eliminate the EOG artifacts automatically by means of independent component analysis (ICA) and correlation coefficient. The features are then extracted from the discrete wavelet transform (DWT) data by the AM method. Finally, the SVM is used for the discriminant of wavelet-based AM features. Compared with EEG data without EOG artifact removal, band power features and LDA classifier, the proposed system achieves promising results in classification accuracy.     

基于CAN总线实时应用的可靠调度性研究

CAN总线是一种高级的串行通信协议,适用于各种分布式控制系统。在实时应用中,标准的CAN协议使用静态优先级算法,对传输信道的利用率比较低。对基于CAN总线通信的动态优先级调度算法进行研究后,提出了一种基于指数分配方式的MTS算法,在保证强实时性消息的同时兼顾了低优先级消息的公平性。     

一种改进的心电信号预处理方法研究

心电信号是典型的强噪声下的非平稳微弱信号,减小噪声的干扰对心电信号的分析有着十分重要的意义,因此,有效的滤波方法一直是该领域学者关注的热点问题。本文在基于小波变换心电信号分析研究基础上,针对小波去噪时分解只作用于低频部分,从而忽略了高频区域中一部分有用信号的问题,提出了一种采用改进小波包理论实现心电信号去噪的方法,利用小波包在消除信号噪声方面具有更为精确的局部分析能力的特点,采用了‘db4’小波和＂最优基＂选择的方法,对心电信号进行消噪。以MIT-BIH心电数据库中心律失常数据仿真实验,得到了较理想的去噪效果。对比该方法与小波滤波去噪,发现基于小波包的心电信号去噪具有更优良的去噪性能。