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 sliding window method 滑动窗口算法(2)滑动窗方法(1)滑动窗口法(2)
 滑动窗口算法
 The experiment result shows that sliding window method is 22.3% faster than the binary method. 实验结果表明,以1024bit签名为例,采用滑动窗口算法比采用二进制算法要快22.3%; 短句来源 Then, by focused on the performance of variable sliding window method proposed by Knuth, a practical way to get the optimized length of sliding window is introduced. 对于减少模乘法次数的方法，本文重点分析了Knuth提出的变长滑动窗口算法，介绍了一个实用的寻找最优窗口长度方法。 短句来源
 滑动窗方法
 In this paper,we discuss the design of turbo code used by UMTS. Combining the sliding window method with forward state metric as an accuracy initialization value with a modified Log-MAP algorithm(Linear-Log-MAP),which is called Sliding Window-Linear-Log-MAP algorithm,we design the VLSI architecture for turbo decoder. Moreover,we present a method for normalizing the forward recursion that yields a 12.5% savings in memory usage. 讨论UMTS中turbo码的设计,提出采用前向状态度量作为初始化精确值的滑动窗方法和改进的Log-MAP(线性Log-MAP)相结合的算法(称为滑动窗-线性-Log-MAP算法),设计出turbo码的VLSI结构,且在归一化处理时,介绍了一种可节约12.5%存储量的方法。 短句来源
 滑动窗口法
 Finally,the comparison shows that scalar multiplication with canonical re-coding and sliding window techniques requires 10.32～17.32% fewer operations than m-ary method,and 4.53～8.40% fewer operations than simple sliding window method. 最后 ,通过比较说明 ,采用规范重编码和滑动窗口技术的椭圆曲线标量乘法的运算开销比用m ary法少 10 32～ 17 32 % ,比单纯采用滑动窗口法也要少 4 5 3～ 8 4 0 % . 短句来源 Lastly, the paper compared the sliding window algorithm with other algorithm such as Binary Method, Addition Chain Method and Yacobi Method etc. and pointed out that sliding window method and Yacobi Method are the best modular power multiplication at present. 最后用滑动窗口法与二进制法、加法链法、Yacobi法等其他模幂乘算法进行了比较,并指出滑动窗口法和Yacobi法是目前最好的模幂乘算法. 短句来源
 “sliding window method”译为未确定词的双语例句
 The omnidistance correlation detection method based on position information in all range distance and several sliding window detection method are compared. The characteristic and the conditions to use them in broadband radars are analyzed. The detection ability of the Energy Accumulate Detection (EDA) sliding window method is studied as the length of the window changes. 通过对基于位置信息的全程相关检测方法和基于能量积累的几种滑窗检测方法的比较[7],分析了它们在宽带雷达信号检测中的性能特点和应用条件,以能量积累滑窗检测(EAD)方法为例研究了滑窗检测时滑动窗口长度变化对检测性能的影响。 短句来源 The new 'double-backup' fault tolerant method, which is originated from sliding window method, is presented and its performance is carefully discussed. 我们在滑动窗的容错方案基础上提出了一种新的容错策略——“双备份”容错，这也是本论文的一个创新之处； 短句来源 Thus three improved CZT algorithms for packed real signal, sectioned spectrum modulation and sliding window method were derived to reduce calculation time and speed up the spectrum analyzing for different applications. 为此作者根据不同的应用需求,提出了实序列重组、分段调制以及分段递推等三种能有效减少计算量、加快计算速度的改进的CZT算法。 短句来源 In order to enables the system to automatically realizing self-adaptive recommendation, this paper gain current user accessing path by using the sliding window method, then the utilization association rule algorithm bases on gathers tree's to produce association rule set, after obtains association rule set, the theoretical analysis and experimental result indicated this method is effective and feasible. 为了使系统能够自动实现自适应推荐服务,本文采用滑窗方法获取当前用户访问路径,然后运用基于聚集树的关联规则算法产生关联规则集,在获得关联规则集后利用推荐集生成算法生成推荐集。 理论分析和实验结果表明该方法是有效可行的。 短句来源 To implement turbo decoder ,it adopted the sliding window method and devised a way to simplify max* function of Log-MAP algorithm. 在实现过程中，本文采用了滑动窗方式译码，并给出了一种完成Log-MAP算法中的max~*函数功能的简单方法。 短句来源 更多

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 sliding window method
 We have analyzed several sets of well-studied haemagglutinin (HA) gene sequences of H3 subtype influenza A viruses to identify codons that are unusually variable, using a simple pairwise sliding window method, DnDscanning. Finally, we remark that our algorithm can be modified to suit the applications of recursive least squares computations with the proper use of sliding window method arising in signal processing applications. Here we describe a maximum likelihood sliding window method based on a likelihood ratio test for scanning DNA sequence alignments for regions of incongruent phylogenetic signals, such as those influenced by recombination. Restoration of a signal and its instantaneous spectral characteristics by the sliding window method We used the three-marker sliding-window method similar to HTR analysis to estimate and assign haplotypes to individual trees. 更多
 Objective: To evaluate the efficiency of sliding window technique in extracting and analyzing somatosensory evoked potentials (SEP) from multichannel electroencephalogram (EEG) data. Methods: A time window of certain window size was moved along the time dimension of data sets. Values within the window were averaged for each trial, and then compared with a preset control window. The probability of randomly appeared significance resulting from repeated statistical comparison... Objective: To evaluate the efficiency of sliding window technique in extracting and analyzing somatosensory evoked potentials (SEP) from multichannel electroencephalogram (EEG) data. Methods: A time window of certain window size was moved along the time dimension of data sets. Values within the window were averaged for each trial, and then compared with a preset control window. The probability of randomly appeared significance resulting from repeated statistical comparison was calculated utilizing simulated EEG data sets. Cluster size (number of successive significant data points with given individual significance threshold) was determined to keep the general alpha value under 0.05. To test this procedure, multichannel EEG signals were recorded and analyzed from fourteen healthy right handed volunteers, with painful and non painful electrical stimuli delivered to the right middle fingers. Results: Cluster size increased in parallel with window size and individual statistical threshold. The major SEP components of real EEG data, as well as the difference between pain and non pain SEPs, were demonstrated to be significant with the sliding window method. Conclusion: Sliding window method is an effective tool for the analysis of SEP data. 目的 :评价滑行窗口技术分析脑电诱发电位的能力。方法 :将具有一定宽度的时间窗口延时间轴滑行 ,计算该窗口内的脑电电位平均值 ,再与对照窗口进行统计比较 ,以检验诱发电位是否具有统计显著性。利用该方法分析随机产生的模拟数据 ,计算在指定单次检验阈值下 ,多次统计比较导致显著性差异点连续出现的几率 ,以确定可使整体α值小于 0 .0 5的cluster大小。为检验该方法的有效性 ,在 14名健康右利手志愿者右手中指给予痛或非痛电刺激 ,记录EEG信号并采用上述技术加以分析。结果 :在整体α值确定的前提下 ,作为显著性判据的cluster大小随单次检验阈值与窗宽的增加而增大。依据上述方法分析真实EEG数据 ,确定了体感与痛觉诱发电位波形中具有统计学意义的成分 ,以及两种波形之间的显著性差异。结论 :滑行窗口技术可有效地用于分析脑电诱发电位。 This paper explores a method for detecting and tracking small and faint targets in high-cluster environments. Based on the technology of conventional radar digital detection, the new method spreads the pointed targets to lines or planes. In view of the moving target properties and dimension changing of spread target, stochastic noise and high clutter are eliminated by the rules of the targets movements and their substantialized dimensions. The precise detection and stable tracking of targets are... This paper explores a method for detecting and tracking small and faint targets in high-cluster environments. Based on the technology of conventional radar digital detection, the new method spreads the pointed targets to lines or planes. In view of the moving target properties and dimension changing of spread target, stochastic noise and high clutter are eliminated by the rules of the targets movements and their substantialized dimensions. The precise detection and stable tracking of targets are carried out by the sliding-window method and m/N detection criterion together with track-matching algorithm. A simulation experiment has confirmed the feasibility of the method. 研究了一种在较强杂波背景下对弱小目标进行有效检测和跟踪的方法 ,该方法基于常规雷达的数字式检测技术 ,将原来的点目标扩展为一个波束范围内的线目标甚至面目标 ;利用目标的运动特性和目标扩展后的维数变化去除大面积杂波和随机噪声 ,通过滑窗法和m/N检验准则 ,结合航迹匹配算法实现目标的准确判定和跟踪 .并结合仿真验证了该方法的可行性 .验证的结果说明 ,该方法算法简便 ,抑制杂波能力强 ,是常规雷达在杂波背景中进行目标跟踪检测的一条可行的方法 . The canonical re-coding and sliding window techniques are often used in computation of scalar multiplication k·P on elliptic curves for reducing the average number of required operation.In this paper,scalar multiplication with canonical re-coding and sliding window techniques is analyzed by modeling the window partition process of canonical re-coding expression of k as Markov-chain,the average performance of scalar multiplication under different parameters are given and the optimal window sizes are computed.Finally,the... The canonical re-coding and sliding window techniques are often used in computation of scalar multiplication k·P on elliptic curves for reducing the average number of required operation.In this paper,scalar multiplication with canonical re-coding and sliding window techniques is analyzed by modeling the window partition process of canonical re-coding expression of k as Markov-chain,the average performance of scalar multiplication under different parameters are given and the optimal window sizes are computed.Finally,the comparison shows that scalar multiplication with canonical re-coding and sliding window techniques requires 10.32～17.32% fewer operations than m-ary method,and 4.53～8.40% fewer operations than simple sliding window method. 在椭圆曲线密码系统中 ,采用规范重编码、滑动窗口等优化技术可以有效提高椭圆曲线上点的标量乘法k·P的运算性能 ,但在实现中 ,需要对不同优化技术的算法性能进行定量分析 ,才能确定标量乘法的最优实现 .本文运用Markov链对标量k规范重编码表示的滑动窗口划分过程进行了建模 ,提出了一种对椭圆曲线标量乘法的平均算法性能进行定量分析的方法 ,并运用该方法分析了不同参数下标量乘法运算的平均性能 ,计算了滑动窗口的最优窗口大小 .最后 ,通过比较说明 ,采用规范重编码和滑动窗口技术的椭圆曲线标量乘法的运算开销比用m ary法少 10 32～ 17 32 % ,比单纯采用滑动窗口法也要少 4 5 3～ 8 4 0 % . << 更多相关文摘
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