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2020 15th IEEE International Conference on Signal Processing (ICSP)最新文献

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A New Distributed Dynamic Spectrum Access Model Based on DQN 一种新的基于DQN的分布式动态频谱接入模型
2020 15th IEEE International Conference on Signal Processing (ICSP) Pub Date : 2020-12-06 DOI: 10.1109/ICSP48669.2020.9320903
Xiao Gao, Z. Dou, Lin Qi
{"title":"A New Distributed Dynamic Spectrum Access Model Based on DQN","authors":"Xiao Gao, Z. Dou, Lin Qi","doi":"10.1109/ICSP48669.2020.9320903","DOIUrl":"https://doi.org/10.1109/ICSP48669.2020.9320903","url":null,"abstract":"With the rapid growth of wireless communication services, spectrum resources are increasingly scarce. Cognitive radio and dynamic spectrum access technologies are valued for their ability to improve spectrum efficiency. This paper first gives the classification of dynamic spectrum access technology, then analyzes the research status and shortcomings of dynamic spectrum access technology, and finally proposes a non-cooperative distributed dynamic spectrum access model based on deep Q-Learning. Compared with the existing model, this new model not only adopts overlay access, but also combines with underlay access, and recognizes that users can conduct multichannel access. Compared with the single-channel access model, the bandwidth utilization is improved under the same condition.","PeriodicalId":237073,"journal":{"name":"2020 15th IEEE International Conference on Signal Processing (ICSP)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126232588","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: 2
Learning Personalized Codebook for TDD Non-Antenna Switching System 学习TDD非天线交换系统的个性化代码
2020 15th IEEE International Conference on Signal Processing (ICSP) Pub Date : 2020-12-06 DOI: 10.1109/ICSP48669.2020.9320967
Heng Miao, Shengqian Han, Yinghan Li, Chenyang Yang
{"title":"Learning Personalized Codebook for TDD Non-Antenna Switching System","authors":"Heng Miao, Shengqian Han, Yinghan Li, Chenyang Yang","doi":"10.1109/ICSP48669.2020.9320967","DOIUrl":"https://doi.org/10.1109/ICSP48669.2020.9320967","url":null,"abstract":"In this paper we investigate the codebook design for a time division duplex (TDD) non-antenna switching system, where the user device is equipped with two receive radio frequency (RF) chains but only one transmit RF chain. To acquire the channel state information at transmitter (CSIT), we resort to a mixture of channel sounding and limited feedback, where the former is employed to obtain the CSIT of the antenna connected to the transmit RF chain and the latter is employed for the other antenna. We propose a deep learning method to design the codebook for limited feedback. The learned codebook is distinguished from the traditional ones in two ways. First, the learned codebook is so-called personalized, which is not fixed but adapt to the partially known CSIT. Second, the codebook exhibits different beam patterns from the traditional codebook that is designed for quantization error minimization. Simulation results demonstrate that the learned codebook can achieve higher data rate with lower complexity than traditional codebook.","PeriodicalId":237073,"journal":{"name":"2020 15th IEEE International Conference on Signal Processing (ICSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134050148","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: 0
Denoising method of rail point cloud data based on morphological filtering 基于形态滤波的轨道点云数据去噪方法
2020 15th IEEE International Conference on Signal Processing (ICSP) Pub Date : 2020-12-06 DOI: 10.1109/ICSP48669.2020.9320942
Q. Han, Hongwei Zhao, Le Wang, Shengchun Wang, Q. Feng
{"title":"Denoising method of rail point cloud data based on morphological filtering","authors":"Q. Han, Hongwei Zhao, Le Wang, Shengchun Wang, Q. Feng","doi":"10.1109/ICSP48669.2020.9320942","DOIUrl":"https://doi.org/10.1109/ICSP48669.2020.9320942","url":null,"abstract":"When using a three-dimensional point cloud scanner to collect data points, due to the influence of various uncertain factors, the data points obtained by the three-dimensional electronic scanning device are always mixed with some noise points. If the noise contained in the point cloud is not filtered through technical methods, these noises will definitely have an impact on the subsequent extraction and recognition of the target set characteristics. Therefore, based on the accurate acquisition of 3D data, we research and design a fast denoising preprocessing algorithm that can be used for high-density 3D data to provide more accurate and effective 3D measurement data for subsequent 3D reconstruction and recognition processing.","PeriodicalId":237073,"journal":{"name":"2020 15th IEEE International Conference on Signal Processing (ICSP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131757042","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: 0
Dually Octagonal Projection for 360 Video with Less-Distortion Introduced 介绍了一种用于360度低失真视频的双八角形投影
2020 15th IEEE International Conference on Signal Processing (ICSP) Pub Date : 2020-12-06 DOI: 10.1109/ICSP48669.2020.9320966
Geyang Wang, Yao Zhao, Chunyu Lin, Meiqin Liu, Jian Jin
{"title":"Dually Octagonal Projection for 360 Video with Less-Distortion Introduced","authors":"Geyang Wang, Yao Zhao, Chunyu Lin, Meiqin Liu, Jian Jin","doi":"10.1109/ICSP48669.2020.9320966","DOIUrl":"https://doi.org/10.1109/ICSP48669.2020.9320966","url":null,"abstract":"The appearance of virtual and augmented reality has tremendously catalyzed 360 videos that provide immersive visual experience. In order to directly employ the existing compression standards, an efficient projection format is required considering the distortion introduced and compression standards compatibility. The equirectangular projection (ERP) is currently the most prevalent projection scheme, however, it introduces severely high sampling density near the poles. The Craster Parabolic Projection (CPP) is issued for uniform sampling on the sphere, but it does not preserve the shape of objects, especially at two sides of the CPP planes. Therefore, we propose a novel CPP-based projection format, named Dually Octagonal Projection (DOP) that projects the spherical video onto two mirrored octagons, striking a balance between distortion and uniform sampling. Besides, a brief format conversion function helps the improvements of 360 video quality. Our experimental results demonstrate that considerable BD-rate gain can be achieved by the DOP over the ERP particularly on detailed and informative videos. The compact format for the DOP is further verified to be more adaptive to encoders.","PeriodicalId":237073,"journal":{"name":"2020 15th IEEE International Conference on Signal Processing (ICSP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130893083","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: 0
Spatial Pyramid Based 3D Hog Feature Extraction for Alzheimer’s Disease Identification 基于空间金字塔的三维猪特征提取用于阿尔茨海默病识别
2020 15th IEEE International Conference on Signal Processing (ICSP) Pub Date : 2020-12-06 DOI: 10.1109/ICSP48669.2020.9321023
Zhiyuan Ding, Ling Wang, Yan Liu, Xiangzhu Zeng, Zheng Wang
{"title":"Spatial Pyramid Based 3D Hog Feature Extraction for Alzheimer’s Disease Identification","authors":"Zhiyuan Ding, Ling Wang, Yan Liu, Xiangzhu Zeng, Zheng Wang","doi":"10.1109/ICSP48669.2020.9321023","DOIUrl":"https://doi.org/10.1109/ICSP48669.2020.9321023","url":null,"abstract":"Image based machine learning is widely used for Alzheimer’s disease (AD) identification, however, traditional two dimensional (2D) image processing techniques may lead to spatial information lost. In this paper, a spatial pyramid based three dimensional (3D) histogram of oriented gradient (HOG) feature extraction method is proposed to increase spatial discrimination. Then a simple f-divergence based dimension reduction method was used to extract principal features in HOG, which solved the problem of high dimensionality of variables with relatively small number of subjects. Experimental results illustrated the effectiveness of proposed method.","PeriodicalId":237073,"journal":{"name":"2020 15th IEEE International Conference on Signal Processing (ICSP)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132662921","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
Design and Accomplishment of Non-intrusive Web Camera SCADA in Power Station 电站非侵入式网络摄像机SCADA的设计与实现
2020 15th IEEE International Conference on Signal Processing (ICSP) Pub Date : 2020-12-06 DOI: 10.1109/ICSP48669.2020.9320904
Qingguang Yu, Yuming Liu, Shangtao Li, M. Chen, Boyu Liang, Anning Sun
{"title":"Design and Accomplishment of Non-intrusive Web Camera SCADA in Power Station","authors":"Qingguang Yu, Yuming Liu, Shangtao Li, M. Chen, Boyu Liang, Anning Sun","doi":"10.1109/ICSP48669.2020.9320904","DOIUrl":"https://doi.org/10.1109/ICSP48669.2020.9320904","url":null,"abstract":"Considering the high safety hazard and high labor cost of manual patrol inspection and the immature technology of power station intelligent robot at the present stage as well as the more stringent operating conditions, this paper puts forward the meter identification monitoring using non-intrusive web camera SCADA. The designed system relies on monitoring and wireless network implementation to read and sort out the effective information of the inspected equipment of the power station, generate information reports, reduce the workload and risk coefficient of manual inspection, facilitate relevant personnel to judge the condition of the equipment through the generated reports, and take quick countermeasures when necessary. Finally, a prototype demonstration system based on network is designed and built according to the background of power station.","PeriodicalId":237073,"journal":{"name":"2020 15th IEEE International Conference on Signal Processing (ICSP)","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132670357","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: 0
A spaceborne camera pose estimate method based on high-precision point cloud model 基于高精度点云模型的星载相机位姿估计方法
2020 15th IEEE International Conference on Signal Processing (ICSP) Pub Date : 2020-12-06 DOI: 10.1109/ICSP48669.2020.9320984
Bian Xiao, Jun Ma, Feng Li, Lei Xin, Bangcheng Zhan
{"title":"A spaceborne camera pose estimate method based on high-precision point cloud model","authors":"Bian Xiao, Jun Ma, Feng Li, Lei Xin, Bangcheng Zhan","doi":"10.1109/ICSP48669.2020.9320984","DOIUrl":"https://doi.org/10.1109/ICSP48669.2020.9320984","url":null,"abstract":"Obtaining the position and orientation information of camera or sensor is a key task in many fields such as robot navigation, autonomous driving, DSM (digital surface model) reconstruction, etc. The pose can be recovered by matching a 2D image and a corresponding digital surface model/point cloud model of the scene. A 3D point cloud model of very high spatial accuracy can be created with a combination of stereophotogrammetry and big data processing. So far, the most accurate 3D point cloud model created with satellites imagery can reach the accuracy of 3m@SE90 (3 meters error with SE90, which is the abbreviation for Spherical Error 90%). In this paper, a novel method of estimating the pose of spaceborne cameras based on the fusion of high-resolution point cloud models and remote sensing images. The core of our method is to project a high-precision 3D point cloud model into the image space of a virtual camera, then the 3D-2D pose estimation method is transformed into a 2D-2D registration method. The registration results between two images are used to estimate the camera pose parameters. Simulation experiments were carried out to evaluate the performance of our method. The results showed that acceptable accuracy of camera pose can be achieved by using the proposed approach.","PeriodicalId":237073,"journal":{"name":"2020 15th IEEE International Conference on Signal Processing (ICSP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131326914","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
Jamming Structure of LFM Pulse Compression Radar Based on Digital Channelization 基于数字信道化的LFM脉冲压缩雷达干扰结构
2020 15th IEEE International Conference on Signal Processing (ICSP) Pub Date : 2020-12-06 DOI: 10.1109/ICSP48669.2020.9320961
Wenxu Zhang, D. Ma
{"title":"Jamming Structure of LFM Pulse Compression Radar Based on Digital Channelization","authors":"Wenxu Zhang, D. Ma","doi":"10.1109/ICSP48669.2020.9320961","DOIUrl":"https://doi.org/10.1109/ICSP48669.2020.9320961","url":null,"abstract":"Firstly, this paper briefly introduces the basic principle of Linear Frequency Modulation (LFM) pulse compression radar and proposes the jamming structure of LFM pulse compression radar based on digital channelization. Based on this, channelized receiving and transmitting parts are elaborated in detail. In the channelized receiving part, a new method of applying Interpolated Finite Impulse Response (IFIR) filter to polyphase filter channelization structure is proposed. In the channelized transmitting part, an efficient channel synthesis structure based on IFIR filter is proposed. The simulation results verify the correctness of the structure, solve the problem that filter order increases with the narrowing of transition band, and effectively improve the acceptance of radar signals and the operational efficiency of the system.","PeriodicalId":237073,"journal":{"name":"2020 15th IEEE International Conference on Signal Processing (ICSP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115475164","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: 0
A Fast Gridless Method for High Order Motion Parameter Estimation Based on PUMA 基于PUMA的高阶运动参数快速无网格估计方法
2020 15th IEEE International Conference on Signal Processing (ICSP) Pub Date : 2020-12-06 DOI: 10.1109/ICSP48669.2020.9321018
Lei Xie, Zishu He, Jun Tong
{"title":"A Fast Gridless Method for High Order Motion Parameter Estimation Based on PUMA","authors":"Lei Xie, Zishu He, Jun Tong","doi":"10.1109/ICSP48669.2020.9321018","DOIUrl":"https://doi.org/10.1109/ICSP48669.2020.9321018","url":null,"abstract":"This paper considers the efficient estimation of the high order motion parameters of the maneuvering targets. A fast gridless long-time coherent integration algorithm based on maximum likelihood (ML) estimation is proposed. After some matrix manipulations, we transform the ML estimation to a weighted least square (WLS) problem and solve it by Principal-singular-vector Utilization for Modal Analysis (PUMA). The proposed method avoids the grid effect with low computational complexity because the motion parameters are estimated by solving a polynomial equation instead of multi-dimensional searching. Simulations are conducted for validating the effectiveness and illustrating the high performance of the proposed method.","PeriodicalId":237073,"journal":{"name":"2020 15th IEEE International Conference on Signal Processing (ICSP)","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114582164","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: 0
Research of Mode and Topology of Hybrid Renewable Energy System in DC Bus Microgrid 直流母线微电网混合可再生能源系统模式与拓扑研究
2020 15th IEEE International Conference on Signal Processing (ICSP) Pub Date : 2020-12-06 DOI: 10.1109/ICSP48669.2020.9320949
Qingguang Yu, Zhicheng Jiang, Mengchu Zhao
{"title":"Research of Mode and Topology of Hybrid Renewable Energy System in DC Bus Microgrid","authors":"Qingguang Yu, Zhicheng Jiang, Mengchu Zhao","doi":"10.1109/ICSP48669.2020.9320949","DOIUrl":"https://doi.org/10.1109/ICSP48669.2020.9320949","url":null,"abstract":"As an essential part of energy internet, micro grids with renewable sources arise rapidly in recent decades to meet the power requirements and solve environmental problems. In this paper, a research of virtual synchronous machine control strategy of hybrid renewable energy in DC micro grid is proposed. System configuration and control methods of key devices are given. Aiming at stabilizing the bus voltage in every possible situation, a virtual speed regulator and a virtual excitation regulator are also designed to make sure that the grid control center can dispatch micro grid using the same way as dispatching synchronous machines. Finally, a DC micro grid model is built in MATLAB platform and operation results shown the high performance of the designed control strategy.","PeriodicalId":237073,"journal":{"name":"2020 15th IEEE International Conference on Signal Processing (ICSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129301708","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: 0
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