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The packet queueing delay is one of the most important performance measures of a data network and is also a significant factor to be considered in the scheduling buffer design for a network node. This paper presents a traffic queueing model for resilient packet ring (RPR) networks and a method for quantitatively analyzing queueing delays in RPR nodes. The method was used to calculate the average queueing delays of different priority traffic for different transit queue modes. The simulations show that, in the transmit direction, lower priority traffic is delayed more than higher priority traffic, and that Class-A traffic is delayed more in a single-queue ring than in a dual-queue ring. In the transit direction, the secondary transit buffer in the dual-queue ring contributes more to the traffic delay than the primary transit buffer in the single-queue ring, which in turn causes more delay than the primary transit buffer in the dual-queue ring. 相似文献
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基于过完备字典的缺失振动数据压缩感知重构算法 总被引:1,自引:0,他引:1
针对振动数据采集过程中由于设备短路或环境变化等诸多因素导致的数据丢失问题,提出了一种基于过完备字典的缺失振动数据压缩感知重构算法。首先利用K 奇异值分解算法对大量振动数据进行字典学习得到过完备字典,然后构建缺失振动数据的采样矩阵作为压缩感知框架下的测量矩阵。最后利用正则化正交匹配追踪算法完成缺失数据的重构。通过振动数据库数据和实测航空发动机振动数据实验表明,所提算法优于传统基于离散余弦变换和离散傅里叶变换的数据修复算法,同时具有一定的鲁棒性。 相似文献
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