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» On vector autoregressive modeling in space and time
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90
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TSP
2008
151views more  TSP 2008»
14 years 9 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
83
Voted
CCECE
2006
IEEE
15 years 3 months ago
A Block Diagram Approach to Reference Frame Transformation of Converter Dynamic Models
This paper proposes a reference frame transformation method which applies appropriate rotational operators to the block diagram representation of a converter space vector model to...
Charles Sao, Peter W. Lehn
ICCAD
2002
IEEE
143views Hardware» more  ICCAD 2002»
15 years 6 months ago
A Markov chain sequence generator for power macromodeling
In macromodeling-based power estimation, circuit macromodels are created from simulations of synthetic input vector sequences. Fast generation of these sequences with all possible...
Xun Liu, Marios C. Papaefthymiou
ECBS
2009
IEEE
164views Hardware» more  ECBS 2009»
15 years 4 months ago
Semantically Enhanced Containers for Concurrent Real-Time Systems
Future space missions, such as Mars Science Laboratory, are built upon computing platforms providing a high degree of autonomy and diverse functionality. The increased sophisticat...
Damian Dechev, Peter Pirkelbauer, Nicolas Rouquett...
LREC
2008
117views Education» more  LREC 2008»
14 years 11 months ago
Evolutionary Basic Notions for a Thematic Representation of General Knowledge
In the field of Natural Language Processing, in order to work out a thematic representation system of general knowledge, methods relying on thesaurus have been used for about twen...
Alain Joubert, Mathieu Lafourcade