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» A New Approach to Strongly Polynomial Linear Programming
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GLOBECOM
2007
IEEE
15 years 7 months ago
Reduced Complexity Sphere Decoding for Square QAM via a New Lattice Representation
— Sphere decoding (SD) is a low complexity maximum likelihood (ML) detection algorithm, which has been adapted for different linear channels in digital communications. The comple...
Luay Azzam, Ender Ayanoglu
AIPS
2007
15 years 3 months ago
Bounding the Resource Availability of Activities with Linear Resource Impact
We introduce the Linear Resource Temporal Network (LRTN), which consists of activities that consume or produce a resource, subject to absolute and relative metric temporal constra...
Jeremy Frank, Paul H. Morris
DCC
2005
IEEE
16 years 1 months ago
Towards Practical Minimum-Entropy Universal Decoding
Minimum-entropy decoding is a universal decoding algorithm used in decoding block compression of discrete memoryless sources as well as block transmission of information across di...
Todd P. Coleman, Muriel Médard, Michelle Ef...
CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
15 years 8 months ago
Explicit model predictive control for linear parameter-varying systems
Abstract— In this paper we demonstrate how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic progra...
Thomas Besselmann, Johan Löfberg, Manfred Mor...
TPDS
2008
72views more  TPDS 2008»
15 years 1 months ago
Replica Placement and Access Policies in Tree Networks
In this paper, we discuss and compare several policies to place replicas in tree networks, subject to server capacity and Quality of Service (QoS) constraints. The client requests ...
Anne Benoit, Veronika Rehn-Sonigo, Yves Robert