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» On the Complexity of Exclusion Algorithms for Optimization
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TSP
2010
14 years 8 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
VTC
2008
IEEE
15 years 7 months ago
Reduced-Complexity Adaptive Receiver Algorithms for 4G SU-MIMO Systems
Abstract—In this paper we present reduced-complexity highperformance receivers for single-user MIMO systems that employ coded OFDM transmission with bit-interleaved coded modulat...
Ozgun Y. Bursalioglu, Haralabos C. Papadopoulos, C...
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
15 years 4 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin
COMAD
2009
15 years 2 months ago
On the Complexity of Multi-Query Optimization in Stream Grids
Stream grids are wide-area grid computing environments that are fed by a set of stream data sources. Such grids are becoming more wide-spread due to the large scale deployment of ...
Saikat Mukherjee, Srinath Srinivasa, Krithi Ramamr...
TWC
2008
121views more  TWC 2008»
15 years 1 months ago
Optimal Downlink OFDMA Resource Allocation with Linear Complexity to Maximize Ergodic Rates
OFDMA resource allocation assigns subcarriers and power, and possibly data rates, to each user. Previous research efforts to optimize OFDMA resource allocation with respect to comm...
Ian C. Wong, Brian L. Evans