2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)最新文献_第5页

FHDR: HDR Image Reconstruction from a Single LDR Image using Feedback Network FHDR:使用反馈网络从单个LDR图像重建HDR图像

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969167

Zeeshan Khan, Mukul Khanna, S. Raman

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引用次数: 27

A BP Neural Network Based Punctured Scheduling Scheme Within Mini-slots for Joint URLLC and eMBB Traffic 基于BP神经网络的URLLC和eMBB联合流量小槽穿刺调度方案

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969539

Qingqing Shang, Fangfang Liu, Chunyan Feng, Ruiyi Zhang, Shulun Zhao

引用次数: 6

Localization in Autonomous Vehicles Using a Generalized Inner Product 基于广义内积的自动驾驶车辆定位

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969453

Samuel Todd Flanagan, Drupad K. Khublani, J. Chamberland, Siddharth Agarwal, Ankit Vora

{"title":"Localization in Autonomous Vehicles Using a Generalized Inner Product","authors":"Samuel Todd Flanagan, Drupad K. Khublani, J. Chamberland, Siddharth Agarwal, Ankit Vora","doi":"10.1109/GlobalSIP45357.2019.8969453","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969453","url":null,"abstract":"Fine localization in autonomous driving platforms is a task of broad interest, receiving much attention in recent years. Some localization algorithms use the Euclidean distance as a similarity measure between the local image acquired by a camera and a global map, which acts as side information. The global map is typically expressed in terms of the coordinate system of the road plane. Yet, a road image captured by a camera is subject to distortion in that nearby features on the road have much larger footprints on the focal plane of the camera compared with those of equally-sized features that lie farther ahead of the vehicle. Using commodity computational tools, it is straightforward to execute a transformation and, thereby, bring the distorted image into the frame of reference of the global map. However, this nonlinear transformation results in unequal noise amplification. The noise profile induced by this transformation should be accounted for when trying to match an acquired image to a global map, with more reliable regions being given more weight in the process. This physical reality presents an algorithmic opportunity to improve existing localization algorithms, especially in harsh conditions. This article reviews the physics of road feature acquisition through a camera, and it proposes an improved matching method rooted in statistical analysis. Findings are supported by numerical simulations.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130322395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

On Convex Stochastic Variance Reduced Gradient for Adversarial Machine Learning 对抗性机器学习的凸随机方差降阶

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969103

Saikiran Bulusu, Qunwei Li, P. Varshney

引用次数: 2

Dynamic Network Slicing for Fog Radio Access Networks 雾无线接入网络的动态网络切片

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969455

A. Nassar, Yasin Yılmaz

{"title":"Dynamic Network Slicing for Fog Radio Access Networks","authors":"A. Nassar, Yasin Yılmaz","doi":"10.1109/GlobalSIP45357.2019.8969455","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969455","url":null,"abstract":"Fog radio access network (F-RAN) has been recently proposed to satisfy the quality-of-service (QoS) requirements of the ultra-reliable-low-latency-communication (URLLC) IoT applications, hence fog nodes are empowered with computing and storage resources to independently deliver network functionalities at the edge of network without referring the users to the cloud. However, due to their limited resources, fog nodes should utilize their resources intelligently for low latency IoT applications to leverage the complementarity with cloud computing. We consider the problem of sequentially allocating fog node’s limited resources to various IoT applications with heterogeneous latency needs. We formulate the problem as a finite-horizon Markov Decision Process (MDP), and present the optimal solution, known as the optimal policy, through dynamic programming. The fog node learns the optimal policy through interaction with the IoT environment, which enables adaptive resource allocation in different IoT environments. Comprehensive simulation results for various IoT environments corroborate the theoretical basis of the proposed MDP method.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114067932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Sampling Signals On Meet/Join Lattices 相会/联接格上的采样信号

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969566

Chris Wendler, Markus Püschel

引用次数: 5

Double-Selection based High-Dimensional Factor Model with Application in Asset Pricing 基于双重选择的高维因子模型及其在资产定价中的应用

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969175

Qingliang Fan, Fannu Hu, Xiao-Ping Zhang

引用次数: 0

Anomalous Sensor Detection Based on Nonlinear Graph Filter 基于非线性图滤波的异常传感器检测

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969109

Zhuo Li, Zhenlong Xiao, C. Lan

引用次数: 0

Super-Resolution for Imagery Enhancement Using Variational Quantum Eigensolver 基于变分量子特征解算器的图像增强超分辨率

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969496

Ystallonne Alves

引用次数: 1

Cramér-Rao Bound for Wideband DOA Estimation with Uncorrelated Sources 不相关源下宽带DOA估计的cram<s:1> - rao界

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969279

Yibao Liang, Qing Shen, W. Cui, Wei Liu

引用次数: 9