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IEICET
2008
95views more  IEICET 2008»
13 years 7 months ago
Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise
Obtaining the best linear unbiased estimator (BLUE) of noisy signals is a traditional but powerful approach to noise reduction. Explicitly computing the BLUE usually requires the ...
Masashi Sugiyama, Motoaki Kawanabe, Gilles Blancha...
IJCM
2007
53views more  IJCM 2007»
13 years 7 months ago
Splitting methods for non-autonomous linear systems
We present splitting methods for numerically solving a certain class of explicitly time-dependent linear differential equations. Starting from an efficient method for the autonom...
Sergio Blanes, Fernando Casas, Ander Murua
ENDM
2010
115views more  ENDM 2010»
13 years 5 months ago
On the knapsack closure of 0-1 Integer Linear Programs
Many inequalities for Mixed-Integer Linear Programs (MILPs) or pure Integer Linear Programs (ILPs) are derived from the Gomory corner relaxation, where all the nonbinding constrai...
Matteo Fischetti, Andrea Lodi
ICC
2000
IEEE
111views Communications» more  ICC 2000»
13 years 12 months ago
Detection of Linear Modulations in the Presence of Strong Phase and Frequency Instabilities
—Noncoherent sequence detection algorithms, recently proposed by the authors, have a performance which approaches that of coherent detectors and are robust to phase and frequency...
Giulio Colavolpe, Riccardo Raheli, Giorgio Picchi
ICASSP
2010
IEEE
13 years 7 months ago
Algorithms for robust linear regression by exploiting the connection to sparse signal recovery
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Yuzhe Jin, Bhaskar D. Rao