ID 原文 译文
55817 提出一种能够匹配多媒体业务特性的独立窗口LT码(independent window LT,IW-LT)不等差错保护方案,采用无码率LT码对不同重要等级的数据分别进行独立选窗和编码。 Put forward a kind of can match the multimedia business features of independent window LT codes (independent window LT, IW - LT) ranging error protection scheme, with no rate of LT codes for different level of important data independently choose window and coding respectively.
55818 通过与或树分析法推导了IWLT码的渐近译码性能,并结合多目标进化算法联合优化编码度分布和选窗概率,以精确匹配预设的不等保护增益及译码开销,增加了不等差错保护方案的灵活性。 With or tree analysis IWLT yards of asymptotic decoding performance was deduced, and combined with joint optimization of multi-objective evolutionary algorithm coding degree distribution and the probability of selection window, in order to exactly match the preset range gain protection and decoding overhead, increase the flexibility of the ranging error protection scheme.
55819 仿真证明,IW-LT码与现有的无码率码不等差错保护方案相比,能在精确匹配不等差错性能参数的前提下,获得更低的译码差错概率。 Simulation proved that IW - LT code and no rate of the existing code ranging error protection scheme, compared to the exact match under the premise of ranging error performance parameters, get a lower decoding error probability.
55820 针对复杂类型设备在线监测问题,提出了一个基于数据深度的设备状态评估一般模型。 For complex types of on-line monitoring equipment, and puts forward a model of equipment condition assessment is generally based on the depth of the data.
55821 首先找到设备的最佳状态,通过理想点的对称变换,得到历史样本与现有样本的合集;然后利用数据深度的原理,计算当前样本与合集样本的相似度量,作为设备当前状态评价的结果。 First find out the best state of equipment, through the ideal point of symmetry transform, get the history sample with existing sample collection;Then by using the principle of the depth of the data, calculate the current samples and sample collection of similarity measures, as a result of the current state evaluation.
55822 对于过程状态,即函数型数据,首先利用多元数据的方法计算出同一时刻的评价结果,然后利用沿时间轴积分的方法计算出平均结果。 State to the process, namely the functional data, first of all, the method of using multiple data to calculate the evaluation results of the same time, along the time axis integral method is then used to calculate the average results.
55823 文中的实验结果验证了方法的有效性。 In this paper, the experimental results verify the validity of the method.
55824 为提高传统均值漂移算法对低对比度图像的跟踪性能,提出一种融合图像微分特征信息的改进算法。 In order to improve the traditional mean shift algorithm of low contrast image tracking performance, and puts forward an improved algorithm of differential characteristic information fusion image.
55825 根据图像8邻域微分值建立微分图像,利用微分特征建立目标模板和候选区域的微分直方图模型,并确定候选区中心位置的更新向量。 According to image 8 neighborhood differential value to establish differential image, using the differential characteristic set up differential histogram model of template and the candidate area, and to determine the candidate area center location update vector.
55826 将其与利用颜色特征信息确定的候选区中心位置的更新向量相融合,得到改进算法的更新向量。 With the color characteristic information is used to determine the candidate area center location update vector fusion, update of the improved algorithm is vector.