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» State, Event, Time and Diagram in System Modeling
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CORR
2011
Springer
155views Education» more  CORR 2011»
15 years 1 months ago
Reconciling Compressive Sampling Systems for Spectrally-sparse Continuous-time Signals
The Random Demodulator (RD) and the Modulated Wideband Converter (MWC) are two recently proposed compressed sensing (CS) techniques for the acquisition of continuous-time spectral...
Michael A. Lexa, Mike E. Davies, John S. Thompson
DAGSTUHL
2006
15 years 7 months ago
Enriched categories and models for spaces of dipaths
Partially ordered sets, causets, partially ordered spaces and their local counterparts are now often used to model systems in computer science and theoretical physics. The order mo...
Timothy Porter
AIPS
2006
15 years 7 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
VOSS
2004
Springer
118views Mathematics» more  VOSS 2004»
15 years 11 months ago
Serial Disk-based Analysis of Large Stochastic Models
Abstract. The paper presents a survey of out-of-core methods available for the analysis of large Markov chains on single workstations. First, we discuss the main sparse matrix stor...
Rashid Mehmood
NETWORK
2007
87views more  NETWORK 2007»
15 years 5 months ago
Resource Management for Broadband Access over Time-Division Multiplexed Passive Optical Networks
Passive optical networks are a prominent broadband access solution to tackle the “last mile” bottleneck in telecommunications infrastructure. Data transmission over standardiz...
Yuanqiu Luo, Si Yin, Nirwan Anson, Ting Wang