ID 原文 译文
19145 最后指出，未来的研究应集中于开发新的深度学习检测框架，用以自动检测和估计真实场景中的地下特征。 It is concluded that future research should focus on developing deep-learning based method toautomatically detect and estimate subsurface features for on-site applications.
19146 边缘计算服务器的负载不均衡将严重影响服务能力，该文提出一种适用于边缘计算场景的任务调度策略(RQ-AIP)。 Unbalanced load on the edge computing server will seriously affect service capabilities, a task scheduling strategy Reinforced Q-learning-Automatic Intent Picking (RQ-AIP) for edge computing scenarios is proposed.
19147 首先，根据服务器的负载分布情况衡量整个网络的负载均衡度，结合强化学习方法为任务匹配合适的边缘服务器，以满足传感器节点任务的资源差异化需求； Firstly, the load balance of the entire network is measured based on the load distribution of theserver. By combining the reinforcement learning method, the appropriate edge server is matched for the task to meet the resource differentiation needs of sensor node tasks.
19148 进而，构造任务时延和终端发射功率的映射关系来满足物理域的约束，结合终端用户社会属性，为任务不断地选择合适的中继终端，通过终端辅助调度的方式实现网络的负载均衡。 Then, a mapping relationship between task delayand terminal transmit power is constructed to satisfy the constraints of the physical domain. Combining the social attributes of terminal, the appropriate relay terminal is continuously selected for the task to achieve the load balancing of network by terminal-assisted scheduling.
19149 仿真结果表明，所提出的策略与其他负载均衡策略相比能有效地缓解边缘服务器之间的负载和核心网的流量，降低任务处理时延。 Simulation results show that compared with otherload balancing strategies, the proposed strategy can effectively alleviate the load between the edge servers andthe traffic of the core network, reduce task processing latency.
19150 在无线电监测和目标定位等应用中，接收信号经常会受到脉冲噪声和同频带干扰等复杂电磁环境的影响，传统的基于2阶统计量的信号处理方法往往不能正常工作，基于分数低阶统计量的信号处理方法也由于对信号噪声统计先验知识的依赖性而遇到困难。 In radio monitoring and target location applications, the received signals are often affected bycomplex electromagnetic environment, such as impulsive noise and cochannel interference. Traditional signal processing methods based on second-order statistics often fail to work properly. The signal processing methods based on fractional lower order statistics also encounter difficulties due to their dependence on prior knowledge of signals and noises.
19151 近年来提出并受到信号处理领域普遍关注的相关熵和循环相关熵信号处理理论与方法，是解决复杂电磁环境下信号分析处理、参数估计、目标定位和其他应用问题的有效技术手段，有力促进了非高斯、非平稳信号处理理论方法和应用的发展。 In recent years, the theory and method of correntropy and cyclic correntropy signalprocessing, which are widely concerned in the field of signal processing, are put forward. They are effectivetechnical means to solve the problems of signal analysis and processing, parameter estimation, target locationand other applications to complex electromagnetic environment. They promote greatly the development of thetheory and application of non-Gaussian and non-stationary signal processing.
19152 该文系统性地综述了相关熵和循环相关熵信号处理的基本理论和基本方法，包括相关熵与循环相关熵的起源背景、定义概念、性质特点，以及所包含的数学物理意义。 This paper reviews systematicallythe basic theory and methods of correntropy and cyclic correntropy signal processing, including the background,definition, properties and characteristics of correntropy and cyclic correntropy, as well as their mathematicaland physical meanings.
19153 该文还介绍了相关熵与循环相关熵信号处理在多个领域的应用问题，希望对非高斯、非平稳统计信号处理的研究和应用有所裨益。 This paper introduces also the applications of correntropy and cyclic correntropy signal processing to many fields, hoping to benefit the research and application of non-Gaussian and non-stationary statistical signal processing.
19154 针对非高斯背景下的弱信号检测问题，该文提出一种基于Sigmoid函数的信号检测(SFD)方法。 To solve the problem of weak signals detection in non-Gaussian background, a method based on Sigmoid function is proposed which is named Sigmoid Function Detector (SFD).