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2016 IEEE International Conference on Signal and Image Processing (ICSIP)最新文献

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Handover performance analysis of cellular communication system from high altitude platform in the swing state 高空平台蜂窝通信系统摇摆状态切换性能分析
2016 IEEE International Conference on Signal and Image Processing (ICSIP) Pub Date : 2016-08-01 DOI: 10.1109/SIPROCESS.2016.7888294
Panfeng He, Naiping Cheng, Jianhua Cui
{"title":"Handover performance analysis of cellular communication system from high altitude platform in the swing state","authors":"Panfeng He, Naiping Cheng, Jianhua Cui","doi":"10.1109/SIPROCESS.2016.7888294","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888294","url":null,"abstract":"By the effect of stratospheric winds, the position and attitude of high altitude platform are in the quasi-stationary state. This paper describes and discusses the swing state of the platform and on this basis, establishes antenna beam coverage geometry model, analyzes the impact of swinging state on handover. the average and maximum handover probability of the different tier cellular have been deduced. The simulation results show that the handover performance of the cells is severely affected by the swing state, especially for outer tier cells, and the effect can be reduced by increase of cell coverage radius to a certain extent.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128985012","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: 6
Hybridization process for text-independent speaker identification based on vector quantization model 基于矢量量化模型的文本无关说话人识别的杂交处理
2016 IEEE International Conference on Signal and Image Processing (ICSIP) Pub Date : 2016-08-01 DOI: 10.1109/SIPROCESS.2016.7888332
Mohammed Djeghader, Qin Huang
{"title":"Hybridization process for text-independent speaker identification based on vector quantization model","authors":"Mohammed Djeghader, Qin Huang","doi":"10.1109/SIPROCESS.2016.7888332","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888332","url":null,"abstract":"This paper examines performances of an independent Speaker Identification System (SIS) based on a template model using a Vector Quantization (VQ) method. Template model is characterized by the implementation platform based on a comparison process where the speaker model with the smallest distortion score is identified. In order to analyze the decision of the system and its confidence, a thresholding decision was introduced as a verdict condition. Thus, a new notion around decision quality was performed. Moreover, this threshold returns a discriminative criterion for selecting the training models used in the matching process and clustering with a second SIS will be allowed. According to the results, it was concluded as through the use of the proposed method; the desired performance was reached. As fulfillment, we have been able to custom a Hybridization process based on SIS-VQ model.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129003942","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
Model and simulation of the Mitsubishi RV-M1 robot using MATLAB 利用MATLAB对三菱RV-M1机器人进行建模与仿真
2016 IEEE International Conference on Signal and Image Processing (ICSIP) Pub Date : 2016-08-01 DOI: 10.1109/SIPROCESS.2016.7888329
Haibin Zhao, Zhiguo Lu, Chong Liu, Hong Wang
{"title":"Model and simulation of the Mitsubishi RV-M1 robot using MATLAB","authors":"Haibin Zhao, Zhiguo Lu, Chong Liu, Hong Wang","doi":"10.1109/SIPROCESS.2016.7888329","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888329","url":null,"abstract":"In this paper, the forward and inverse kinematics of a robot manipulator named RV-M1 are analyzed. The forward kinematic model is based on the DH parameters, and the inverse one is derived in closed form. Then, the interactive simulation system is established using MATLAB software which is one of the most used platforms for the modeling and simulation of robot systems. Finally, the simulation results verify the effectiveness of the kinematics equations.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127625832","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
Crowd counting using adaptive segmentation in a congregation 在集会中使用自适应分割的人群计数
2016 IEEE International Conference on Signal and Image Processing (ICSIP) Pub Date : 2016-08-01 DOI: 10.1109/SIPROCESS.2016.7888363
Muhamad Sajid, Ali Hassan, S. Khan
{"title":"Crowd counting using adaptive segmentation in a congregation","authors":"Muhamad Sajid, Ali Hassan, S. Khan","doi":"10.1109/SIPROCESS.2016.7888363","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888363","url":null,"abstract":"A novel technique of segmenting people for counting using adaptive thresholding has been proposed in this paper. The technique uses adaptive thresholding to detect and extract objects of interest and is based on the idea of counting people through a slit window. The technique works well for highly occluded crowded scenes in Masjid-e-Haram during Hajj and Umrah congregation. It is a very diverse problem and presents variety of challenges to solve. The most challenging problem is to differentiate between ever-changing background and foreground. The density levels of crowd are also variable from single persons to dense crowd. In this paper, idea and practical application of the proposed method under real conditions has been described. A series of experiments were conducted on real videos of the event of variable densities and lengths. Finally, experiments proved that, proposed method is applicable in real time scenario with high accuracy.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117219483","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: 9
Object oriented classification of coastal landform based on texton theory 基于文本理论的海岸地貌面向对象分类
2016 IEEE International Conference on Signal and Image Processing (ICSIP) Pub Date : 2016-08-01 DOI: 10.1109/SIPROCESS.2016.7888228
Sun Shutting, Li Jianqiang, Zou Bin
{"title":"Object oriented classification of coastal landform based on texton theory","authors":"Sun Shutting, Li Jianqiang, Zou Bin","doi":"10.1109/SIPROCESS.2016.7888228","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888228","url":null,"abstract":"This paper focus on classification of coastal landform. The study area is locate in QinZhou, Guangxi Zhuang Autonomous Region, China, using GF-1 image. In view of complex coastal landform, the current study firstly transforming RGB model to CIE LAB model, dividing image based on colour gradient, then conducting Gabor filtering and PCA transformation to develop texons and generating texton histogram. Finally, maximum likelihood classification is employed for classification. The study results demonstrate that classification accuracy has been improved due to the capacity of texton-based model in maintaining more image features, achieving variable decoupling, and reducing variable correlation.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126438561","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
Application of Extended Kalman Filter for tracking high dynamic GPS signal 扩展卡尔曼滤波在高动态GPS信号跟踪中的应用
2016 IEEE International Conference on Signal and Image Processing (ICSIP) Pub Date : 2016-08-01 DOI: 10.1109/SIPROCESS.2016.7888313
C. Zeng, Weimin Li
{"title":"Application of Extended Kalman Filter for tracking high dynamic GPS signal","authors":"C. Zeng, Weimin Li","doi":"10.1109/SIPROCESS.2016.7888313","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888313","url":null,"abstract":"This paper introduces the Extended Kalman Filter (EKF) to realize high dynamic tracking of GPS signal. It's compared with the traditional tracking loop with a third-order phase-locked loop (PLL), which is assisted by a second-order frequency-locked loop (FLL) and a second-order delay-locked loop (DLL). It can estimate carrier phase, Doppler shift, rate of change of Doppler shift and code phase in real-time for higher dynamics. The results of simulation show that the new tracking method can not only improve the dynamic acceleration as high as 100g, also improve the tracking accuracy.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126601114","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: 13
A time-frequency analysis concentration measurement algorithm based on erode 一种基于侵蚀的时频分析浓度测量算法
2016 IEEE International Conference on Signal and Image Processing (ICSIP) Pub Date : 2016-08-01 DOI: 10.1109/SIPROCESS.2016.7888291
Jiadong Hu, Xianli Zhou, Mingshuo Zhu
{"title":"A time-frequency analysis concentration measurement algorithm based on erode","authors":"Jiadong Hu, Xianli Zhou, Mingshuo Zhu","doi":"10.1109/SIPROCESS.2016.7888291","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888291","url":null,"abstract":"During the process of time-frequency (TF) analysis, the TF concentration degree is one of the most important parameters. So far, except for the MSE calculation, a stable and effective concentration measurement (CM) principle is still lacking. In this paper, a new CM principle has been proposed based on image morphology. Employing the erosion with two different algorithms, the information of the best and the worst TF concentrations could be find and a comprehensive evaluation would be given. After a series of simulation experiments, the results confirm that the new CM principle is of better stability and veracity.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127483211","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
Total ionizing dose vulnerability analysis and on-orbit prediction for spaceborne signal processing platform 星载信号处理平台总电离剂量易损性分析与在轨预测
2016 IEEE International Conference on Signal and Image Processing (ICSIP) Pub Date : 2016-08-01 DOI: 10.1109/SIPROCESS.2016.7888308
He Wei, Wang Yueke, Xing Ke-fei, Deng Wei, Liu Pengcheng
{"title":"Total ionizing dose vulnerability analysis and on-orbit prediction for spaceborne signal processing platform","authors":"He Wei, Wang Yueke, Xing Ke-fei, Deng Wei, Liu Pengcheng","doi":"10.1109/SIPROCESS.2016.7888308","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888308","url":null,"abstract":"To evaluate the total ionizing dose vulnerability of spaceborne signal processing platform, an accelerated radiation experiment is set up and on-orbit prediction method is proposed. For signal processing platform which consists of SRAM-based FPGA and DSP, function parameter and current variety are the two criterion of experiment. 60Co γ radial radiation experiment indicates that total dose is about 95 k rad(Si), and DSP is the most vulnerability device. The total ionizing dose of typical satellite orbit is predicted by MULASSIS software. Different shielding schemes for electron have been simulated with Monte-Carlo method. With 3 mm aluminium reinforce, the platform can be applied in the low earth orbit(LEO) orbit (800km, 1200km) for 28 years. With 2.8 mm aluminium and 0.2mm tantalum reinforce, the platform can be applied in the (geosynchronous earth orbit)GEO orbit for 28 years.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122373656","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
Automatic multiviewface detection and pose estimationfrom videos based on mixture-of-trees model and optical flow 基于混合树模型和光流的视频多视图自动检测和姿态估计
2016 IEEE International Conference on Signal and Image Processing (ICSIP) Pub Date : 2016-08-01 DOI: 10.1109/SIPROCESS.2016.7888268
Huisi Wu, Laiqun Li, Jingjing Liu, Youcai Zhu, Ping Li, Zhenkun Wen
{"title":"Automatic multiviewface detection and pose estimationfrom videos based on mixture-of-trees model and optical flow","authors":"Huisi Wu, Laiqun Li, Jingjing Liu, Youcai Zhu, Ping Li, Zhenkun Wen","doi":"10.1109/SIPROCESS.2016.7888268","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888268","url":null,"abstract":"Face detection is an important task in the field of computer vision, which is widely used in the field of security, human-machine interaction, identity recognition, and etc. Many existing methods are developed for image based face pose estimation, but few of them can be directly extended to videos. However, video-based face pose estimation is much more important and frequently used in real applications. This paper describes a method of automatic face pose estimation from videos based on mixture-of-trees model and optical flow. Unlike the traditional mixture-of-trees model, which may easily incur errors in losing faces or with wrong angles for a sequence of faces in video, our method is much more robust by considering the spatio-temporal consistency on the face pose estimation for video. To preserve the spatio-temporal consistency from one frame to the next, this method employs an optical flow on the video to guide the face pose estimation based on mixture-of-trees. Our method is extensively evaluated on videos including different faces and with different pose angles. Both visual and statistics results demonstrated its effectiveness on automatic face pose estimation.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128220834","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
Time reversal imaging method for damage detection in concrete 混凝土损伤检测的时间反演成像方法
2016 IEEE International Conference on Signal and Image Processing (ICSIP) Pub Date : 2016-08-01 DOI: 10.1109/SIPROCESS.2016.7888264
Guangmin Zhang, Yue Song
{"title":"Time reversal imaging method for damage detection in concrete","authors":"Guangmin Zhang, Yue Song","doi":"10.1109/SIPROCESS.2016.7888264","DOIUrl":"https://doi.org/10.1109/SIPROCESS.2016.7888264","url":null,"abstract":"In this paper, a novel time reversal imaging (TRI) algorithm for damage detection in concrete is presented. The standard time reversal imaging method typically suffers from performance degradation when the echo signals are interfered by strong noise. The proposed method is developed to address the aforementioned issues. First, the echo signals are time reversed and rebroadcasted from each receiver's location. Then, the cross-correlation function of the time reversed signal and the probing signal is calculated. Finally, the value of the cross-correlation function is used to construct the imaging map. Since the probing signals are irrelevant to the noise, the proposal method can effectively suppress noise. A numerical experiment was taken. The results indicate that the performance of the proposed method is superior to that of the standard Time Reversal imaging method under low SNR condition.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131691612","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: 3
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