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检索条件"任意字段=2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing"
109 条 记 录,以下是71-80 订阅
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Two-hop communication with energy harvesting
Two-hop communication with energy harvesting
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2011 4th ieee international workshop on computational advances in multi-sensor adaptive processing, CAMSAP 2011
作者: ndüz, Deniz Devillers, Bertrand 08860 - Castelldefels Barcelona Spain
Communication nodes with the ability to harvest energy from the environment have the potential to operate beyond the timeframe limited by the finite capacity of their batteries;and accordingly, to extend the overall n... 详细信息
来源: 评论
A computationally efficient robust adaptive beamforming for general-rank signal model with positive semi-definite constraint
A computationally efficient robust adaptive beamforming for ...
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2011 4th ieee international workshop on computational advances in multi-sensor adaptive processing, CAMSAP 2011
作者: Khabbazibasmenj, Arash Vorobyov, Sergiy A. Dept. Electrical and Computer Engineering University of Alberta Edmonton AB T6G 2V4 Canada
The robust adaptive beamforming problem for general-rank signal model with positive semi-definite (PSD) constraint is considered. The existing approaches for solving the corresponding non-convex optimization problem a... 详细信息
来源: 评论
Clutter rejection for MTI radar using a single antenna and a long integration time
Clutter rejection for MTI radar using a single antenna and a...
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2011 4th ieee international workshop on computational advances in multi-sensor adaptive processing, CAMSAP 2011
作者: Goy, Philippe Vincent, Francois Tourneret, Jean-Yves Rockwell-Collins France 6 avenue Didier Daurat 31701 Blagnac France Department Electronics Optronics and Signal University of Toulouse/ISAE Toulouse France University of Toulouse IRIT-ENSEEIHT 2 rue Camichel Toulouse France
Moving Target Indicators (MTI) are airborne radar systems designed to detect and track moving vehicles or aircrafts. In this paper, we address the problem of detecting hazardous collision targets to avoid them. One of... 详细信息
来源: 评论
Two-hop communication with energy harvesting
Two-hop communication with energy harvesting
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ieee international workshop on computational advances in multi-sensor adaptive processing (CAMSAP)
作者: Deniz Gündüz Bertrand Devillers Centre Tecnològic de Telecomunicacions de Catalunya Barcelona Spain
Communication nodes with the ability to harvest energy from the environment have the potential to operate beyond the timeframe limited by the finite capacity of their batteries; and accordingly, to extend the overall ... 详细信息
来源: 评论
Passive imaging using cross correlations of ambient noise signals
Passive imaging using cross correlations of ambient noise si...
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3rd ieee international workshop on computational advances in multi-sensor adaptive processing (CAMSAP)
作者: Garnier, Josselin Papanicolaou, George Univ Paris 07 Lab Probabilites & Modeles Aleatoires 2 Pl Jussieu F-75251 Paris 5 France Stanford Univ Dept Math Stanford CA 94305 USA
It is possible to estimate the travel time or even the full Green's function between two passive sensors from the cross correlation of recorded signal amplitudes generated by ambient noise sources. Using the stati... 详细信息
来源: 评论
Passive imaging and detection in cluttered media
Passive imaging and detection in cluttered media
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3rd ieee international workshop on computational advances in multi-sensor adaptive processing (CAMSAP)
作者: Garnier, Josselin Solna, Knut Univ Paris 07 Lab Probabilites & Modeles Aleatoires 2 Pl Jussieu F-75251 Paris 5 France Univ Calif Irvine Dept Math Irvine CA 92697 USA
In this paper we consider passive sensor imaging with ambient noise sources by suitably migrating the cross correlations of the recorded signals. We use an imaging functional that relates to the classic Kirchhoff migr...
来源: 评论
Hybrid Probabilistic Data Association and Variational Filtering for multi-Target Tracking in Wireless sensor Networks
Hybrid Probabilistic Data Association and Variational Filter...
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3rd ieee international workshop on computational advances in multi-sensor adaptive processing (CAMSAP)
作者: Teng, Jing Snoussi, Hichem Richard, Cedric Zhou, Yi ICD/LM2S University of Technology of Troyes 10000 12 rue Marie Curie France
A hybrid signal processing scheme is proposed for distributed multi-target tracking (MTT). For the sake of resource efficiency in a wireless sensor network (WSN), we reduce the problem to parallel cluster-based single... 详细信息
来源: 评论
Improving Distributed Space-Time Coding Through Combining at the multiple-Antenna Relay
Improving Distributed Space-Time Coding Through Combining at...
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3rd ieee international workshop on computational advances in multi-sensor adaptive processing (CAMSAP)
作者: Jing, Yindi Univ Alberta Edmonton AB T6G 2M7 Canada
Distributed space-time coding (DSTC) is a cooperative scheme proposed for wireless relay networks that achieves full diversity when the transmit power is infinitely high. In this paper, we propose to employ maximum-ra... 详细信息
来源: 评论
Fragment-based Variational Visual Tracking
Fragment-based Variational Visual Tracking
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3rd ieee international workshop on computational advances in multi-sensor adaptive processing (CAMSAP)
作者: Zhou, Yi Snoussi, Hichem Zheng, Shibao Richard, Cedric Teng, Jing Univ Technol Troyes ICD LM2S 12 Rue Marie Curie F-10000 Troyes France Shanghai Jiao Tong Univ Inst Image Commun & Informat Shanghai 200240 Peoples R China
We propose a Bayesian tracking algorithm based on adaptive fragmentation and variational approximation. By using the cue of gradient, we fragment the target into disconnected rectangles and reduce the confusion from t... 详细信息
来源: 评论
Distributed Space-Time Code Designs Via Cayley Transform
Distributed Space-Time Code Designs Via Cayley Transform
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3rd ieee international workshop on computational advances in multi-sensor adaptive processing (CAMSAP)
作者: Jing, Yindi Univ Alberta Dept Elect & Comp Engn Edmonton AB T6G 2M7 Canada
Distributed space-time coding achieves full diversity in wireless relay networks without channel information at the relays. This paper is on the design of specific distributed space-time codes. By Cayley transform, th... 详细信息
来源: 评论