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检索条件"主题词=prediction coding"
316 条 记 录,以下是11-20 订阅
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Lossless data compression: A particle dynamics model
Lossless data compression: A particle dynamics model
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3rd International Conference on Service Systems and Service Management
作者: Shuai, Diamun Shuai, Qing Dong, Yumin East China Univ Sci & Technol Shanghai 200237 Peoples R China Huazhong Univ Sci & Technol Huazhong Peoples R China Qingdao Technol Univ Qingdao Peoples R China
This paper presents a new generalized particle model (GPM) to generate the prediction coding for lossless data compression We discuss the GPM-based parallel algorithm, its properties and realization scheme. The propos... 详细信息
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Interfering Channel Estimation for Radar and Communication Coexistence  20
Interfering Channel Estimation for Radar and Communication C...
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20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
作者: Liu, Fan Garcia-Rodriguez, Adrian Masouros, Christos Geraci, Giovanni UCL Dept Elect & Elect Engn London England Nokia Bell Labs Dublin 15 Ireland Univ Pompeu Fabra Barcelona Spain
We investigate the interfering channel estimation in radar and communication coexistence, where a multi-input-multi-output (MIMO) radar is operated in a "search and track" mode, and a MIMO base station (BS) ... 详细信息
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Very Low-Rate Variable-Length Channel Quantization for Minimum Outage Probability
Very Low-Rate Variable-Length Channel Quantization for Minim...
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Data Compression Conference (DCC)
作者: Koyuncu, Erdem Jafarkhani, Hamid Univ Calif Irvine Ctr Pervas Commun & Comp Irvine CA 92697 USA
We identify a practical vector quantizer design problem where any fixed-length quantizer (FLQ) yields non-zero distortion at any finite rate, while there is a variable-length quantizer (VLQ) that can achieve zero dist... 详细信息
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Robust Secure Goodput for Massive MIMO and Optical Fiber Wiretap Channels  18
Robust Secure Goodput for Massive MIMO and Optical Fiber Wir...
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18th IEEE International Workshop on Signal Processing Advances for Wireless Communications (SPAWC)
作者: Lonnstrom, Andrew Jorswieck, Eduard Haufe, Daniel Czarske, Juergen W. Tech Univ Dresden Commun Theory D-01062 Dresden Germany Tech Univ Dresden Lab Measurement & Sensor Syst Tech D-01062 Dresden Germany
We propose a method for optimizing the information theoretic secure goodput of a multiple-input multiple-output (MIMO) degraded wiretap channel using inverse precoding. We evaluate the secrecy capacity of this method ... 详细信息
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Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO  20
Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO
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20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
作者: Balatsoukas-Stimming, Alexios Castaneda, Oscar Jacobsson, Sven Durisi, Giuseppe Studer, Christoph Ecole Polytech Fed Lausanne Telecommun Circuits Lab Lausanne Switzerland Cornell Univ Sch Elect & Comp Engn Ithaca NY 14850 USA Ericsson Res Gothenburg Sweden Chalmers Univ Technol Gothenburg Sweden
Base station (BS) architectures for massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems are equipped with hundreds of antennas to serve tens of users on the same time-frequency channel. The ... 详细信息
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CSI Signaling for Decentralized Coordinated Beamforming in TDD Multi-cell MIMO Systems
CSI Signaling for Decentralized Coordinated Beamforming in T...
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44th Asilomar Conference on Signals, Systems and Computers
作者: Komulainen, Petri Tolli, Antti Juntti, Markku Univ Oulu Ctr Wireless Commun FI-90014 Oulu Finland
In this paper we present a novel multi-cell TDD CSI sounding concept for terminals employing multiple antennas. The objective is to support decentralized downlink beam coordination with minimal or no backhaul traffic ... 详细信息
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Non-Linear Interference Mitigation for Broadband Multimedia Satellite Systems
Non-Linear Interference Mitigation for Broadband Multimedia ...
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International Workshop on Satellite and Space Communications
作者: Diaz, Marcos Alvarez Courville, Nicolas Mosquera, Carlos Liva, Gianluigi Corazza, Giovanni E. Univ Vigo Dept Signal Theory & Commun Vigo 36310 Spain German Aerosp Ctr DLR Inst Commun & Navigat D-82234 Wessling Germany Univ Bologna Dept Elect Comp Sci & Syst I-40126 Bologna Italy
This contribution explores the use of interference mitigation techniques applied to broadband satellite systems with co-channel interference. In particular, our focus is on nonlinear precoding techniques, borrowing id... 详细信息
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Performance of Precoded Integer-Forcing for Closed-Loop MIMO Multicast
Performance of Precoded Integer-Forcing for Closed-Loop MIMO...
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IEEE Information Theory Workshop (ITW)
作者: Domanovitz, Elad Erez, Uri Tel Aviv Univ Dept EE Syst Tel Aviv Israel
The integer-forcing receiver architecture has recently been proposed as a high-performance, yet low-complexity, equalization scheme, that is applicable when all data streams are encoded with the same linear code. It w... 详细信息
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Transmit Preprocessing using Channel Selection for Multi-antenna Ultra-Wideband Communications  72nd
Transmit Preprocessing using Channel Selection for Multi-ant...
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IEEE 72nd Vehicular Technology Conference Fall 2010
作者: Wang, Taotao Lv, Tiejun Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Beijing 100876 Peoples R China
In this paper, we propose a novel transmit preprocessing scheme using Channel Selection (CS) to jointly design PreRake and Precoding for multiple-input multiple-output Ultra-Wideband (MIMO-UWB) communications. The Pre... 详细信息
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On Interference-Aware Precoding for Multi-Antenna Channels with Finite-Alphabet Inputs
On Interference-Aware Precoding for Multi-Antenna Channels w...
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IEEE International Conference on Communications (ICC)
作者: Zeng, Weiliang Xiao, Chengshan Lu, Jianhua Tsinghua Univ Dept Elect Engn Tsinghua Natl Lab Informat Sci & Technol State Key Lab Microwave & Digital Commun Beijing 100084 Peoples R China
This paper investigates the interference-aware linear precoder design with finite-alphabet inputs. It maximizes the mutual information between the transmitter and intended receiver while controlling the interference p... 详细信息
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