ID |
原文 |
译文 |
10834 |
为了在变化的网络环境中快速自适应地获得最佳门限并降低检错率,提出了一种基于模糊C均值(fuzzy C-means,FCM)的自适应门限选择机制。 |
Fast adaptive to changes in the network environment to get the best threshold and decrease the rate of error detection, this paper proposes a based on the fuzzy c-means (fuzzy C - means, FCM) adaptive threshold selection mechanism. |
10835 |
该机制只需根据接收到的能量样本的相似性和差异性进行聚类,选取隶属度值差异最小的能量样本作为最佳门限值,而无需信噪比、初始门限等先验信息,因此在能量检测中具有更强的自适应性。 |
The mechanism need according to the received power samples the similarities and differences of clustering, selection of membership degree value differences as a best threshold method, minimum energy sample without signal-to-noise ratio, the initial threshold, such as a priori information, therefore have stronger adaptability in energy detection. |
10836 |
Matlab仿真结果证明,新机制下获取的最佳门限与本文中推导的高斯白噪声信道下的最佳检测器门限相比,具有很好的拟合度。 |
Matlab simulation results show that under the new mechanism to obtain the best threshold and derived in this paper the optimal detector under white gaussian noise channel compared threshold, has the very good fitting. |
10837 |
针对传统的正交频分复用(orthogonal frequency division multiplexing,OFDM)时域参数估计方法在Alpha稳定分布噪声环境下性能退化的问题,该文提出了一种基于相关熵的时域参数估计新方法。 |
In view of the traditional orthogonal frequency division multiplexing (orthogonal frequency division multiplexing, OFDM) time domain parameter estimation method on the Alpha stable distribution under noise environment performance degradation problems, this paper puts forward a new method of time domain parameter estimation based on relative entropy. |
10838 |
相关熵是适用于非高斯信号处理的一种广义相关函数,用于表征随机变量的局部相似性。 |
Relative entropy is applied to a generalized related non-gaussian signal processing functions, used to characterize the local similarity of the random variable. |
10839 |
该方法利用OFDM信号时域结构具有局部相似性这一特点以及相关熵对脉冲噪声较好的抑制作用,完成Alpha稳定分布噪声下OFDM信号有用符号时间和符号周期这两个时域参数的估计。 |
Using time-domain OFDM signal structure, this method possesses the feature of local similarity and correlation entropy to impulse noise better inhibition, complete the Alpha stable distribution noise under the OFDM signal useful time and cycle of signs both time domain parameter estimates. |
10840 |
此外,为进一步提高强脉冲噪声下有用符号时间和符号周期的估计性能,该文利用累积法对相关熵进行了改进。 |
In addition, to further improve the useful time and cycle of signs under strong impulse noise estimation performance, in this paper, using the method of accumulation of relative entropy is improved. |
10841 |
仿真结果表明,在Alpha稳定分布噪声下,本文提出的基于相关熵的方法具有良好的估计性能,并且在强脉冲噪声下优于基于分数低阶统计量的方法。 |
The simulation results show that under the Alpha stable distribution noise, this paper proposed the method based on relative entropy has good estimation performance, and under the strong impulse noise is better than the method based on fractional lower order statistics. |
10842 |
群体选择的结果往往受个体主观因素的影响而具有一定的波动性,需要借助某些分析工具来考察其稳定或可靠程度。 |
The result of group selection is often influenced by individual subjective factors have certain volatility, by means of some analysis tools are needed to examine its stable and reliable. |
10843 |
文中采用几何学方法,针对一类典型、常见的群体选择方法——加权计分规则(weighted scoring rules,WSRs),提出了一种基于评分向量夹角正弦的稳定性分析和度量方法。 |
The geometry method in this paper, for a class of typical and common group selection method, the weighted scoring rules (weighted scoring rules, WSRs), is proposed based on a score vector Angle stability analysis and measurement method of sine. |