— 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...
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...
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. ...
Abstract. Accurate selectivity estimations are essential for query optimization decisions where they are typically derived from various kinds of histograms which condense value dis...
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...