计算机网络安全与防火墙技术分析

近年来,随着互联网的发展壮大,网络已经成为人们生活所必须,网上购物、网上订单、网上银行等多项便民服务的展开给人们的生活带来了极大的方便。然后伴随着网民的增加,网络高科技犯罪也成为了公安部门关注的重点。据统计,当前绝大多数网络犯罪的核心在于使用用户对于网络安全没有引起足够的重视。     

ID3算法的改进

对决策树中的ID3算法的基本原理进行了详细研究,针对ID3算法倾向于取值较多的属性的缺点作了改进,最后通过实验对改进前后的算法进行了比较,实验表明,改进后的算法行之有效。     

扩展三值纠一检二码原理与设计

本文在三值汉明码一位检错纠错研究工作的基础上,对三值汉明码的检错纠错方法进行进一步研究.给出了扩展三值汉明码的形式,通过对扩展三值汉明码的错误分析获得了一位纠错和二位检错原理,给出了扩展三值汉明码的纠错码表,根据纠错码表提出了一位纠错方法,给出了基于三值光学计算机的扩展三值汉明码检错纠错概念结构图和功能部件,为检错纠错系统的光学设计提供一种途径.     

基于VSIPL的跨平台算法中间件软件设计

针对航空电子信息系统与通信数据链的嵌入式信息处理应用中算法软件移植性和可复用性差的问题,提出基于VSIPL标准应用编程接口的跨平台算法中间件软件设计模式,以增强多平台多系统软件可移植性及代码重用性;利用Power-VSIPL的AltiVec矢量加速、数据并行设计及循环展开,在保持原有算法处理精度基础上,提高软件运算效率1~5倍。     

Concurrent Blind Channel Equalization in Impulsive Noise Environments

In some communication systems the trans- mitted signal is contaminated by impulsive noise with a non-Gaussian distribution. Non-Gaussian noise caused significant performance degradation to communication re- ceivers. The new constant modulus blind equalizer based on Fractional lower-order statistics of the equalizer input, which is defined as FLOS_CMA, is able to mitigate impul- sive channel noise while restoring the constant modulus character of the transmitted communication signal. How- ever, like the Constant modulus algorithm （CMA）, the steady-state Mean square error （]VISE） of the FLOS_CMA algorithm may not be sufficient low for the system to ob- tain adequate performance. This paper proposes a con- current equalizer, in which a Decision-directed least mean p norm （DD_LMP） equalizer operates cooperatively with a FLOS_CMA equalizer, controlled through a non-linear link. Simulation results using M-QAM and 8-PSK signal- ing have shown that besides the capability of compensating the phase offset, the proposed concurrent FLOS_CMA and DD_LMP blind equalizer has faster convergence rate and lower steady-state MSE than the FLOS_CMA approach.     

Polynomial approximated phase-only multiple sector beam patterns of linear antenna arrays with pre-fixed amplitude distribution using real-valued genetic algorithms

In this paper, the authors present second degree polynomial approximated phase-only synthesis of two different types of symmetric sector or flat-top beams of equally spaced linear antenna arrays of isotropic radiators with single pre-fixed cosine on a pedestal amplitude distributions using real-coded or real-valued genetic algorithm. This gives a regular shape to the phase distributions of the radiators. Regular shape phase distributions result in simpler feed network design compared to irregular shape phase distributions. A good agreement between desired and synthesized pattern using genetic algorithm (GA) is reported.     

Statistically matched wavelet-based method for detection of power quality events

This article presents a new technique for the detection of power quality (PQ) events by using statistically matched wavelet. The statistically matched wavelet is designed based on the characteristics of the PQ event using the concept of fractional Brownian motion. The proposed technique is compared with Daubechies wavelet to show its superiority in the detection of PQ events. To classify the detected events, an iterative closest point algorithm is used which classifies the detected event even in the presence of outlier points and Gaussian noise. The method is applied to classify the various PQ events like transient, sag, swell and harmonics and the results are simulated using MATLAB version 7.3.     

Performance comparisons between PCA-EA-LBG and PCA-LBG-EA approaches in VQ codebook generation for image compression

The aim of this study is to generate vector quantisation (VQ) codebooks by integrating principle component analysis (PCA) algorithm, Linde-Buzo-Gray (LBG) algorithm, and evolutionary algorithms (EAs). The EAs include genetic algorithm (GA), particle swarm optimisation (PSO), honey bee mating optimisation (HBMO), and firefly algorithm (FF). The study is to provide performance comparisons between PCA-EA-LBG and PCA-LBG-EA approaches. The PCA-EA-LBG approaches contain PCA-GA-LBG, PCA-PSO-LBG, PCA-HBMO-LBG, and PCA-FF-LBG, while the PCA-LBG-EA approaches contain PCA-LBG, PCA-LBG-GA, PCA-LBG-PSO, PCA-LBG-HBMO, and PCA-LBG-FF. All training vectors of test images are grouped according to PCA. The PCA-EA-LBG used the vectors grouped by PCA as initial individuals, and the best solution gained by the EAs was given for LBG to discover a codebook. The PCA-LBG approach is to use the PCA to select vectors as initial individuals for LBG to find a codebook. The PCA-LBG-EA used the final result of PCA-LBG as an initial individual for EAs to find a codebook. The search schemes in PCA-EA-LBG first used global search and then applied local search skill, while in PCA-LBG-EA first used local search and then employed global search skill. The results verify that the PCA-EA-LBG indeed gain superior results compared to the PCA-LBG-EA, because the PCA-EA-LBG explores a global area to find a solution, and then exploits a better one from the local area of the solution. Furthermore the proposed PCA-EA-LBG approaches in designing VQ codebooks outperform existing approaches shown in the literature.     

改进人工蜂群算法在数字图像相关中的应用

针对人工蜂群算法存在的收敛速度较慢,易陷入局部最优解的问题,提出一种改进的人工蜂群优化算法,并应用于数字图像相关的整像素位移搜索中。该算法借助相关度值的变化来动态调整跟随蜂的搜索步长,平衡其全局和局部的搜索能力;侦察蜂利用遗传算法的交叉运算产生新解,改善全局搜索能力。实验结果表明,改进的算法能有效地提高收敛速度,改善整像素位移搜索的性能。     

回声消除基于NLMS改进算法的研究

为了提高VoIP的通信质量,减少回声干扰,对LMS算法、NLMS算法进行阐述,基于NLMS提出了一种运算量小并且提高收敛性能的改进的自适应滤波算法。通过在Matlab下的仿真研究和对误差曲线的分析,证明了该改进算法的收敛速度快,均方误差小。用改进的算法对语音回声信号进行消除,仿真得到消除回声后的信号效果明显,为IP电话中回声消除的自适应滤波问题提供了一个较好的算法。