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2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)最新文献

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Action recognition based on semantic feature description and cross classification 基于语义特征描述和交叉分类的动作识别
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-09-04 DOI: 10.1109/ChinaSIP.2014.6889319
Yang Zhao, Qi Wang, Yuanzhuo Yuan
{"title":"Action recognition based on semantic feature description and cross classification","authors":"Yang Zhao, Qi Wang, Yuanzhuo Yuan","doi":"10.1109/ChinaSIP.2014.6889319","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889319","url":null,"abstract":"Action recognition is a challenging topic in computer vision. In this work, we present a novel method for action recognition which is based on two claimed contributions: semantic feature description and cross classification. The designed descriptor is combined by several local 3D-SIFT and is informative and distinctive, reflecting the spatio-temporal clues of the video. The cross classification effectively combines the feature localization and action categorization together. The proposed method is justified on a popular dateset named UCF50 and the experimental results demonstrate that our method outperforms the state-of-the-art competitors.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126570443","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
A high-efficiency loop delay estimator in digital predistortion subsystem 数字预失真子系统中一种高效的环路延迟估计器
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-09-04 DOI: 10.1109/ChinaSIP.2014.6889307
Shitao Zhu, A. Zhang, Zhuo Xu, Xiaoli Dong
{"title":"A high-efficiency loop delay estimator in digital predistortion subsystem","authors":"Shitao Zhu, A. Zhang, Zhuo Xu, Xiaoli Dong","doi":"10.1109/ChinaSIP.2014.6889307","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889307","url":null,"abstract":"A high-efficiency time delay estimation method is presented to obtain the accurate loop delay (including integer and fractional loop delay) between the input signal and the time delayed feedback signal in digital predistortion subsystem within the same process. Compared with the conventional, a sampling position adjusting scheme for complex signals using the piecewise-parabolic filter assisted by a steady decision criterion for limited data length achieves a significant reduction in time complexity and an improvement in loop delay estimation stability and precision. Results from simulations and experiments show that the proposed method is high-efficiency and valid.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128652327","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
Super-resolution imaging algorithm based on attributed scattering center model 基于属性散射中心模型的超分辨率成像算法
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889246
Min Wu, M. Xing, Lei Zhang, Jia Duan, Gang Xu
{"title":"Super-resolution imaging algorithm based on attributed scattering center model","authors":"Min Wu, M. Xing, Lei Zhang, Jia Duan, Gang Xu","doi":"10.1109/ChinaSIP.2014.6889246","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889246","url":null,"abstract":"Based on attributed scattering center, a novel algorithm of super-resolution synthetic aperture radar (SAR) imaging is proposed in this paper to characterize physical properties of the scattering object. An improved Orthogonal Matching Pursuit (OMP) algorithm is utilized to estimate the parameter of the simplified attributed scattering center model. To realize super-resolution, spectrum extrapolation is preformed in signal reconstruction based on the estimated model parameter. The method can accurately describe the physical structure compared with the traditional super-resolution algorithm based on the point scattering model. In addition, the method has fast computation efficiency and can achieve a better focusing performance with the utilization of the orientation angle. The simulation results validate the superiority of the proposed algorithm.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117113506","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: 10
A novel radar radiation control strategy based on passive tracking in multiple aircraft platforms 一种基于多机平台被动跟踪的雷达辐射控制策略
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889350
Jun Chen, Fei Wang, Jianjiang Zhou, C. Shi
{"title":"A novel radar radiation control strategy based on passive tracking in multiple aircraft platforms","authors":"Jun Chen, Fei Wang, Jianjiang Zhou, C. Shi","doi":"10.1109/ChinaSIP.2014.6889350","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889350","url":null,"abstract":"This paper proposes a radar radiation control method based on cooperation tracking of multiple sensors. The main idea of the method is passive tracking in multiple platforms is used preferentially, while radar tracks target timely according to the tracking accuracy. In this paper, a tracking accuracy metric called interactive multiple model predicted covariance (IMMPC) is derived by IMM-EKF algorithm. By comparing with the pre-defined threshold, whether or not the radar transmitter radiates energy is determined. Simulation results show that the proposed radiation control method can reduce the radar radiation times effectively and have a good performance of low probability of interception (LPI).","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117147850","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: 7
A precession period extraction method of ballistic target based on DAMDF 一种基于DAMDF的弹道目标岁差周期提取方法
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889302
Zhenchong Zhao, Xiaodan Wang, Yafei Song, Lei Lei
{"title":"A precession period extraction method of ballistic target based on DAMDF","authors":"Zhenchong Zhao, Xiaodan Wang, Yafei Song, Lei Lei","doi":"10.1109/ChinaSIP.2014.6889302","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889302","url":null,"abstract":"The current precession period extraction methods are analyzed in this paper. Considering their low accuracy and stability in low SNR environment, a new method is proposed based on the double average magnitude difference function (DAMDF). Utilizing the current methods' same period characteristic with the original data and the average argument's decay characteristic with the increase of step, the result of DAMDF has just only one peak, so that it can overcome the unfavourable influence of the frequency demultiplication as well as restrain the interference brought about by frequency multiplication and noise. Simulation results present that the new method can enhance the accuracy and stability of precession period estimation greatly in low SNR environment.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125887164","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
An effective doa estimation by exploring the spatial sparse representation of the inter-sensor data ratio model 通过探索传感器间数据比模型的空间稀疏表示，提出了一种有效的doa估计方法
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889198
Y. Zou, Yifan Guo, Weiqiao Zheng, C. Ritz, J. Xi
{"title":"An effective doa estimation by exploring the spatial sparse representation of the inter-sensor data ratio model","authors":"Y. Zou, Yifan Guo, Weiqiao Zheng, C. Ritz, J. Xi","doi":"10.1109/ChinaSIP.2014.6889198","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889198","url":null,"abstract":"This paper investigates speaker direction of arrival (DOA) estimation using a single acoustic vector sensor (AVS). With the definition of the inter-sensor data ratio (ISDR) in the time-frequency (TF) domain and the use of the high local signal-to-noise ratio (HLSNR) TF points, an effective ISDR data model is derived, which determines the relationship between the ISDR and the AVS manifold vector. With the spatial sparse representation of the ISDR data, the DOA estimation is formulated by recovering the sparse matrix and locating the peak of the power spectrum of the reconstructed sparse matrix. Preliminary experimental results using simulations and real AVS recordings show that the proposed DOA estimation method is able to achieve high elevation and azimuth estimation accuracy for all angles when the SNR is above 10dB, avoiding the spatial aliasing problem and suppressing the adverse impact of the room reverberation. It is expected that the proposed DOA estimation method may find wide applications in portable devices due to its small compact physical size and superior performance.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128766154","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
A DOA and polarization estimation method using a spatially non-collocated vector sensor array 一种基于空间非配置矢量传感器阵列的方位和偏振估计方法
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889347
Fang Liu, Huiyong Li, W. Xia, Yikai Wang
{"title":"A DOA and polarization estimation method using a spatially non-collocated vector sensor array","authors":"Fang Liu, Huiyong Li, W. Xia, Yikai Wang","doi":"10.1109/ChinaSIP.2014.6889347","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889347","url":null,"abstract":"To reduce the mutual coupling across the collocated sensor, a distributed array geometry composed of crossed dipole pair is introduced in this paper. Based on the non-collocated vector sensor array, an ESPRIT-based method is newly proposed to estimate the direction of arrival (DOA) and polarization parameter. Due to the special structure of non-collocated array, the DOA and polarization parameter are paired automatically, and thus the computational complexity is greatly reduced. The Cramer-Rao Lower Bound (CRLB) has been derived and the performance of DOA and polarization estimation for the distributed array is also analyzed. Simulation results verify the effective parameter estimation performance of the proposed method by using a spatially non-collocated array.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125712301","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
Feature extraction of sar target in clutter based on peak region segmentation and regularized orthogonal matching pursuit 基于峰区分割和正则化正交匹配追踪的杂波sar目标特征提取
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889229
Xunchao Cong, R. Zhu, Yu-Lin Liu, Q. Wan
{"title":"Feature extraction of sar target in clutter based on peak region segmentation and regularized orthogonal matching pursuit","authors":"Xunchao Cong, R. Zhu, Yu-Lin Liu, Q. Wan","doi":"10.1109/ChinaSIP.2014.6889229","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889229","url":null,"abstract":"Feature extraction in clutter is a challenging problem in SAR target recognition because of the difficulty in distinguishing the target signature from the background. In this paper, a new feature extracting algorithm based on automated peak region segmentation (PRS) and regularized orthogonal matching pursuit (ROMP) techniques is presented and called PRS-ROMP. It combines the processes in both signal domain and image domain. First, the proposed method uses PRS and parametric model (PM) to obtain the positions and atoms of strong scattering centers of target. Then we acquire the positions and atoms of weak scattering centers by the sparse reconstruction algorithm and PM for residual region. By using all atoms of strong and weak scattering centers we get the final amplitude estimation by LS. Experimental results of electromagnetic calculations data in clutter validate the proposed target feature extraction method.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130061746","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: 7
Compressive sensing multi-spectral demosaicing from single sensor architecture 基于单传感器结构的压缩感知多光谱去马赛克
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889259
H. Aggarwal, A. Majumdar
{"title":"Compressive sensing multi-spectral demosaicing from single sensor architecture","authors":"H. Aggarwal, A. Majumdar","doi":"10.1109/ChinaSIP.2014.6889259","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889259","url":null,"abstract":"This paper addresses the recovery of multi-spectral images from single sensor cameras using compressed sensing (CS) techniques. It is an exploratory work since this particular problem has not been addressed before. We considered two types of sensor arrays - uniform and random; and two recovery approaches - Kronecker CS (KCS) and group-sparse reconstruction. Two sets of experiments were carried out. From the first set of experiments we find that both KCS and group-sparse recovery yields good results for random sampling, but for uniform sampling only KCS yields good results. In the second set of experiments we compared our proposed techniques with state-of-the-art methods. We find that our proposed methods yields considerable better results.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130080269","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: 27
Energy-efficient transmission of delay-limited bursty data packets over time-varying channels under non-ideal circuit power 非理想电路功率下时变信道时延限制突发数据包的节能传输
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889343
Zheng Nan, Tianyi Chen, Xin Wang
{"title":"Energy-efficient transmission of delay-limited bursty data packets over time-varying channels under non-ideal circuit power","authors":"Zheng Nan, Tianyi Chen, Xin Wang","doi":"10.1109/ChinaSIP.2014.6889343","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889343","url":null,"abstract":"This paper develops a novel approach to energy-efficient transmission schedule for delay-limited bursty data arrivals over time-varying channels under non-ideal circuit power consumption. Relying on optimization tools, the structure of the optimal strategy is revealed. Based on such a special structure, an efficient algorithm is then developed to find the optimal policy with a low computational complexity. The proposed approach provides the optimal benchmark for all the practical schemes designed for transmissions of delay-limited data arrivals over time-varying channels.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133929845","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
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