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ICC
2007
IEEE
192views Communications» more  ICC 2007»
15 years 3 months ago
Informed Dynamic Scheduling for Belief-Propagation Decoding of LDPC Codes
— Low-Density Parity-Check (LDPC) codes are usually decoded by running an iterative belief-propagation, or message-passing, algorithm over the factor graph of the code. The tradi...
Andres I. Vila Casado, Miguel Griot, Richard D. We...
MVA
2002
195views Computer Vision» more  MVA 2002»
14 years 9 months ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee
CORR
2010
Springer
104views Education» more  CORR 2010»
14 years 9 months ago
Decentralised Learning MACs for Collision-free Access in WLANs
By combining the features of CSMA and TDMA, fully decentralised WLAN MAC schemes have recently been proposed that converge to collision-free schedules. In this paper we describe a ...
Minyu Fang, David Malone, Ken R. Duffy, Douglas J....
FGCS
2006
82views more  FGCS 2006»
14 years 9 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi
ICC
2008
IEEE
199views Communications» more  ICC 2008»
15 years 4 months ago
Lower-Complexity Layered Belief-Propagation Decoding of LDPC Codes
Abstract— The design of LDPC decoders with low complexity, high throughput, and good performance is a critical task. A well-known strategy is to design structured codes such as q...
Yuan-Mao Chang, Andres I. Vila Casado, Mau-Chung F...