A novel fusion paradigm for multi-channel image denoising

Multi-channel and single-channel image denoising are on two important development fronts. Integrating multi-channel and single-channel image denoisers for further improvement is a valuable research direction. A natural assumption is that using more useful information is helpful to the output results. In this paper, a novel multi-channel and single-channel fusion paradigm (MSF) is proposed. The proposed MSF works by fusing the estimates of a multi-channel image denoiser and a single-channel image denoiser. The performance of recent multi-channel image denoising methods involved in the proposed MSF can be further improved at low additional time-consuming cost. Specifically, the validity principle of the proposed MSF is that the fused single-channel image denoiser can produce auxiliary estimate for the involved multi-channel image denoiser in a designed underdetermined transform domain. Based on the underdetermined transformation, we create a corresponding orthogonal transformation for fusion and better restore the multi-channel images. The quantitative and visual comparison results demonstrate that the proposed MSF can be effectively applied to several state-of-the-art multi-channel image denoising methods.     

OLAN光纤微机局域网的总体设计

本文提出了一种适合于特殊环境使用的光纤局域网的拓扑结构——类星型结构。这种结构解决了多通道的同时传输问题。此外,文中还对 OLAN 网的层次划分和各层的协议进行了分析和讨论。     

Enabling customers engagement and collaboration for small and medium-sized enterprises in ubiquitous multi-channel ecosystems

Over the last few years, we have encountered an exponential growth in online communication opportunities. Organizations have more and more ways to connect and engage with their current or future customers. The existence of more opportunities in connecting to people can be both an enabler and a burden. Being present at a multitude of different channels requires the effective management of a very large number of adapted contents, formats, and interaction patterns fulfilling the communication and cooperation needs of distributed target groups. In this respect, we integrate existing fragmented communication and monitoring approaches into a full-fledged communication model as a basis for an adequate engagement approach. We describe applications of our approach in both the eTourism and manufacturing domain. In this paper, we introduce an approach that will enable communication, collaboration and value exchange of users through a multitude of online interaction possibilities based on the use of semantic technology. Finally, we also compare our approach with existing solutions with respect to the identified challenges in this subject.     

基于扩展CENTRIST的遥感场景分类

提出一种基于扩展CENTRIST纹理算子的遥感场景分类方法。它由更多邻域规模的三个子方案组成,不仅继承了CENTRIST的优点,而且编码了更多不同纹理的局部结构信息。通过三种不同模式的纹理算子来提取多通道图像纹理特征,通过谱回归判别分析进行分类识别。提出能够捕获多通道图像中互补信息的多通道eCT融合机制,以获得更高的分类准确率。在UC Merced标准数据库上的实验表明,该方法得到的结果比CENTRIST效果更好,鲁棒性更高。     

基于探测的多信道无线网状网机会路由算法

多信道无线网状网的性能在很大程度上依赖于信道分配和路由选择.现有的多信道无线网状网路由大多没有考虑信道之间的干扰问题,从而导致通信性能下降.针对这一问题,提出一种基于探测的多信道无线网状网机会路由(POR)算法.首先,根据干扰能量,选出最佳通信信道集来降低信道间的传榆干扰.在此基础上,采用探测方式计算路径期望传输时延,确定候选链路集并运用机会路由机制进行数据传输以最小化端到端的传输时延.实验结果表明,POR可以显著地降低平均端到端时延,提高数据包投递率,为数据传输提供实时性和可靠性保证.     

自适应滤波语音增强算法改进及其DSP实现

为提高强噪声环境下语音信号的信噪比,增强语音通信的质量,以DSP为平台,构建一个基于自适应滤波技术的单通道语音增强系统。该系统以TMS320F2812为核心,结合其多通道缓冲串口(McBSP)与扩展音频接口芯片TLV320AIC23实现了语音信号的高速采集及输出;同时,利用箕舌线函数更新自适应滤波步长因子并引入解相关运算进行语音降噪处理,有效改善了传统算法适应性差,收敛速度慢,稳态误差大等问题。实验结果表明该算法降噪性能好,能明显提高语音清晰度,且系统稳定性强。     

临近空间飞行器多通道全流程可视化演示系统

临近空间飞行器具有多学科、多物理场强耦合的复杂性,基于多领域耦合仿真与虚拟现实技术实现全流程飞行特性的可视化演示,可对总体和分系统设计人员提供直观、清晰的海量试验数据分析手段.传统的可视化手段往往只是针对三维场景的视景仿真,没有集成多物理场的可视化.且针对多物理场的可视化也只是针对某一个特定的状态,不能表现飞行器多物理场的全程变化过程.通过研究基于多通道的虚拟飞行可视化技术、多物理场科学计算可视化技术,利用多通道投影显示硬件系统、大视场屏幕等硬件设备,建立了多通道、全流程可视化演示系统,取得了较好的应用效果,提供了实验结果的重要辅助分析工具,使可视化视觉效果具有强烈沉浸感.     

基于LabVIEW串口通信的多路数据采集系统

本文介绍了一种基于LabVIEW软件平台的单片机多路数据采集系统的设计原理和过程。本设计选用ATmega 128单片机组成的系统作为前端数据采集系统进行多路数据采集,通过RS-485串口通信将数据传输至上位机;利用LabVIEw强大的数据处理和显示功能对采集的数据进行实时处理、分析、显示和存储。     

基于Ad Hoc的改进型多信道接入协议研究

为了解决目前多信道接入协议面临的多信道隐藏终端和多信道Deafness问题,加入了探测报文和等待报文,采用节点状态表和信道空闲状态表的方法,并采用NS2仿真软件对该协议进行性能仿真。仿真结果表明,该协议解决了多信道隐藏终端和多信道Deafness问题,与DPC协议相比提高了网络吞吐量和信道利用率,降低了网络传输的延迟,增强了网络的性能。     

基于DCT变换的多通道特征的行人检测

在行人检测中,针对目前多通道检测算法特征利用不充分的问题,提出一种基于DCT变换的多通道特征级联的行人检测算法。通过一种2层卷积网络模型将图像信息DCT变换后的数据进行整理,形成新的频域通道特征,该通道能描述行人的复杂纹理特征。结合梯度方向直方图特征、颜色空间特征和DCT频域特征,基于Adaboost算法训练了低开销的多通道特征行人检测器。在典型的公开行人库上的实验结果表明,该方法能提高检测的性能,在较低误检率时效果更加显著。