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» Improved Decomposition of STGs
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IJON
2002
128views more  IJON 2002»
13 years 9 months ago
Extraction of a source from multichannel data using sparse decomposition
It was discovered recently that sparse decomposition by signal dictionaries results in dramatic improvement of the qualities of blind source separation. We exploit sparse decompos...
Michael Zibulevsky, Yehoshua Y. Zeevi
VLSID
2006
IEEE
240views VLSI» more  VLSID 2006»
14 years 10 months ago
An Efficient and Accurate Logarithmic Multiplier Based on Operand Decomposition
Logarithmic Number Systems (LNS) offer a viable alternative in terms of area, delay and power to binary number systems for multiplication and division operations in signal process...
Venkataraman Mahalingam, N. Ranganathan
COR
2010
166views more  COR 2010»
13 years 10 months ago
Variable neighbourhood decomposition search for 0-1 mixed integer programs
In this paper we propose a new hybrid heuristic for solving 0-1 mixed integer programs based on the principle of variable neighbourhood decomposition search. It combines variable ...
Jasmina Lazic, Saïd Hanafi, Nenad Mladenovic,...
ISSAC
2009
Springer
167views Mathematics» more  ISSAC 2009»
14 years 4 months ago
High order derivatives and decomposition of multivariate polynomials
In this paper, we present an improved method for decomposing multivariate polynomials. This problem, also known as the Functional Decomposition Problem (FDP) [17, 9, 27], is class...
Jean-Charles Faugère, Ludovic Perret
CDC
2008
IEEE
107views Control Systems» more  CDC 2008»
14 years 4 months ago
Locally optimal decomposition for autonomous obstacle avoidance with the Tunnel-MILP algorithm
— The Tunnel-MILP algorithm is a three stage path planning method for 2-D environments that relies on the identification of a sequence of convex polygons to form an obstacle fre...
Michael P. Vitus, Steven Lake Waslander, Claire J....