ID |
原文 |
译文 |
58148 |
仿真结果表明,相比传统的波束选择方法,所提方法可以实现接近最优的系统和速率性能以及更高的能量效率. |
Numerical simulations results show thatthe proposed scheme achieve near optimal achievable sum rate performance and higher power efficiencycompared with conventional beam selection scheme. |
58149 |
针对特征选择过程中准确率和计算效率不平衡问题,提出了一种快速特征选择框架( FFFS) . |
Aiming at the imbalance between accuracy and computational efficiency in feature selection,afast feature selection framework ( FFFS) is proposed. |
58150 |
基于该框架,使用最小冗余最大相关方法( MRMR) 选择候选特征,借助序列前向选择方法( SFS) 验证性能,并通过限定迭代次数提高计算性能. |
Based on this framework,a fast feature selectionalgorithm,MRMR-SFS,is proposed. The minimum redundancy maximum relevance ( MRMR) method isused to select the candidate features,and sequential forward selection ( SFS) method is used to verify theperformance of the candidate features as well. |
58151 |
与 MRMR、SFS 和混合序列浮动前向选择算法( FDHSFFS) 的对比实验结果表明,提出的快速特征选择算法 MRMR-SFS 能在预测准确率和计算效率之间取得较好的平衡 |
It improves the calculation efficiency by limiting the number of iterations. Comparison experiments with the MRMR,SFS and a filter-dominating hybrid sequentialfloating forward selection algorithms demonstrate that MRMR-SFS can balance the accuracy and computational efficiency well. |
58152 |
针对使用概率成形技术和高阶调制格式的变速率光传输系统,提出了一种基于四次方特征值的盲调制格式识别方法. |
A blind modulation format identification method based on fourth-power eigenvalues is proposedfor variable-rate optical transmission systems employing probabilistic shaping technology and high-ordermodulation formats. |
58153 |
该方法利用接收端信号经过四次方运算后的快速傅里叶变换( FFT) 峰值和方差值,能够实现偏振复用概率成形高阶调制格式的精确识别. |
By using the fast Fourier transformation ( FFT) peak value and variance after the received signal passes through fourth-power operation,accurate identification of high order modulation formats with probabilistic shaping and polarization multiplexing can be realized. |
58154 |
在联合仿真平台上搭建了高速长距离相干光传输系统,验证了新方法的有效性. |
A high-speed long-haul coherent optical transmission system is built on the platform of the joint simulation to verify the effectivenessof the method. |
58155 |
提出一种基于云服务器外包的安全两方集合计算协议,采用多项式的点值计算和 Boneh 加密体制相结合的思想,解决两方集合交集问题,并且实现了对用户私有集合的隐私保护. |
A secure two-party set computation protocol based on cloud server outsourcing was proposed. |
58156 |
协议执行过程中各参与者的计算完全独立,没有任何数据的交互形式.协议允许参与者独立将各自的私有数据存储到云服务器,因此不需要多次上传副本. |
The protocol solved the problem of the intersection of two sets and realizes the privacy protection of privacy sets of participants with the combination of the point value calculations of polynomial and Bonehencryption system. |
58157 |
证明了协议的正确性和安全性,并对协议性能进行了分析. |
During protocol execution,the calculation of each participant was completely independent without any form of data interaction. It allows multiple participants to storage their private data tothe cloud server independently without having to upload copies multiple times. |