视频对象分割中基于Gibbs随机场模型的空分割结合方法

本文提出了一种基于Gibbs随机场模型的时空分割结合方法,用于视频对象的分割.该方法为每一帧图像的分割模板建立Gibbs随机场模型,将时间域分割结果作为初始标记场,空间域的分割结果作为一个图像观察场,然后利用Gibbs模型的约束条件将二者结合起来,得到该帧最后的分割标记场.实验结果表明,这种时空结合方法可以较好地避免以往的比重法过分依赖于空间域分割精度的问题.     

Coexistence of multiple bifurcation modes in memristive diode-bridge-based canonical Chua’s circuit

Based on a memristive diode bridge cascaded with series resistor and inductor filter, a modified memristive canonical Chua’s circuit is presented in this paper. With the modelling of the memristive circuit, a normalised system model is built. Stability analyses of the equilibrium points are performed and bifurcation behaviours are investigated by numerical simulations and hardware experiments. Most extraordinary in the memristive circuit is that within a parameter region, coexisting phenomenon of multiple bifurcation modes is emerged under six sets of different initial values, resulting in the coexistence of four sets of topologically different and disconnected attractors. These coexisting attractors are easily captured by repeatedly switching on and off the circuit power supplies, which well verify the numerical simulations.     

自成像列阵共振腔的分析——Ⅰ.Talbot共振腔

利用自成像效应进行半导体列阵激光器锁相是一种重要的外腔锁相技术,所构成的共振腔可分为Talbot腔和带相位补偿板的Lau腔。我们用Fox-Li方法计算了共振模式。本文给出了Talbot腔的计算结果和分析,表明同相和反相模的损耗随腔长变化存在临界点。     

一种新型三维光正交码的设计

基于光正交码(OOC)编码技术,提出了一种新型空/时/频三维OOC的设计方案,对光信号在时、频和空域进行编码,该码具有理想的自/互相关特性。通过仿真比较,在容量和系统的误码率等性能方面比一、二维OOC都有较大的提高,因而能很好地适应未来高密集光纤通信。     

基于稠密局部自相似特征流的图像配准算法

针对基于稠密SIFT流图像配准算法执行效率和配准准确率有待提高的不足,提出了一 种基于稠密局部自 相似(LSS)描述符构建的稠密改进的LSS(ILSS)特征流的图像配准算法。算法通过颜色空间转 换分离出彩色图像中的 颜色和亮度信息,只在亮度通道上提取稠密LSS特征以大幅度提高图像特征提取阶段 执行效率。随后以 保持特征流场光滑性为约束条件,采用金字塔多分辨率迭代法提高LSS特征流场估计 阶段的执行效率。 多分辨率迭代法的基本思想是先在图像粗粒度网格上快速估算出初步的特征流场,然后再逐 步求精获得最 终精确的特征流场。大量实验表明,与稠密SIFT流相比,基于稠密ILSS特征流的图像 配准算法在图像内容发生较大变化时具有更好的鲁棒性,同时具有更高的执行效率和图像配 准确率。     

低损耗梳状声表面波延迟线的耦合模分析

梳状换能器可看成若干叉指单元电端并联,声端首尾串联而成的网络,采用单向结构可降低采用这种结构的声表面波延迟线的损耗。根据耦合模(COM)理论推导出整个换能器的混合矩阵(P矩阵)并结合等效电路模型得到了整个延迟线二端网络的导纳矩阵以及延迟线的幅频及相频响应。本方法能模拟指间反射、三次行程、指条寄生阻抗以及外围电路对器件的影响;理论模拟与实验结构吻合。     

电力系统远动传输规约实验软件的设计

本文介绍了一种用于电力系统远动传输规约教学实验的软件系统。该系统利用Visual C++编写完成,模拟了主站和分站之间利用循环式、问答式传输规约进行数据传输的过程,学生可通过上机操作学习不同规约中数据帧(报文)的生成与传输过程,有效改善了专业课的教学效果。     

基于功率特征的抗密集多假目标干扰跟踪技术

针对密集多假目标干扰下,真假目标识别困难、跟踪精度低的问题,提出了基于功率特征的抗干扰技术。首先,对干扰条件下的雷达量测进行信号似然比预处理,剔除杂波;然后,进行角度卡方检验及同源量测融合,以充分利用虚假目标信息;最后,根据真假目标功率特征构建“分贝数冶加权因子,并结合位置信息,实现真实目标的功率/ 位置双重加权,从而大大削弱干扰信号的影响,达到抗干扰的目的。仿真实验表明,该技术能较好地适应密集多假目标干扰环境,并取得较高的跟踪精度。     

Threshold gain properties of lasing modes in ID disordered media optically pumped by femtosecond-lasing pulse

By numerically solving Maxwell's equations and rate equations,a comprehensive calculation on spectrum intensity and spectral widths of three localized modes via different pumping rates in one-dimension...     

Adaptive lossless compression of skeleton sequences

The increasing importance of skeleton information in surveillance big data feature analysis demands significant storage space. The development of an effective and efficient solution for storage is still a challenging task. In this paper, we propose a new framework for the lossless compression of skeleton sequences by exploiting both spatial and temporal prediction and coding redundancies. Firstly, we propose a set of skeleton prediction modes, namely, spatial differential-based, motion vector-based, relative motion vector-based, and trajectory-based skeleton prediction mode. These modes can effectively handle both spatial and temporal redundancies present in the skeleton sequences. Secondly, we further enhance performance by introducing a novel approach to handle coding redundancy. Our proposed scheme is able to significantly reduce the size of skeleton data while maintaining exactly the same skeleton quality due to lossless compression approach. Experiments are conducted on standard surveillance and Posetrack action datasets containing challenging test skeleton sequences. Our method obviously outperforms the traditional direct coding methods by providing an average of 73% and 66% bit-savings on the two datasets.