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» An LFT approach to parameter estimation
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ICC
2007
IEEE
159views Communications» more  ICC 2007»
14 years 3 months ago
Limited Feedback Precoding in Realistic MIMO Channel Conditions
— MIMO system design for real applications requires that factors such as channel estimation errors, feedback quantisation and realistic channel responses be taken into account. L...
Geoffrey W. K. Colman, Tricia J. Willink
TMI
2008
138views more  TMI 2008»
13 years 8 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
TSP
2010
13 years 3 months ago
Noisy data and impulse response estimation
Abstract--This paper investigates the impulse response estimation of linear time-invariant (LTI) systems when only noisy finitelength input-output data of the system is available. ...
Soosan Beheshti, Munther A. Dahleh
BNCOD
2008
96views Database» more  BNCOD 2008»
13 years 10 months ago
Smooth Interpolating Histograms with Error Guarantees
Abstract. Accurate selectivity estimations are essential for query optimization decisions where they are typically derived from various kinds of histograms which condense value dis...
Thomas Neumann, Sebastian Michel
MLDM
2009
Springer
14 years 3 months ago
Drift-Aware Ensemble Regression
Abstract. Regression models are often required for controlling production processes by predicting parameter values. However, the implicit assumption of standard regression techniqu...
Frank Rosenthal, Peter Benjamin Volk, Martin Hahma...