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ICRA
2009
IEEE
129views Robotics» more  ICRA 2009»
14 years 27 days ago
Novel parameter estimation schemes in microsystems
— This paper presents two novel estimation methods that are designed to enhance our ability of observing, positioning, and physically transforming the objects and/or biological s...
Hakan Bilen, Muhammet A. Hocaoglu, Eray A. Baran, ...
GLOBECOM
2006
IEEE
14 years 9 days ago
Low-Complexity Adaptive High-Resolution Channel Prediction for OFDM Systems
Abstract— We propose a low-complexity adaptive highresolution channel prediction algorithm for pilot symbol assisted orthogonal frequency division multiplexing (OFDM) systems. Th...
Ian C. Wong, Brian L. Evans
ICC
2007
IEEE
121views Communications» more  ICC 2007»
14 years 18 days ago
Low Complexity Adaptive Turbo Frequency-Domain Channel Estimation for Single-Carrier Multi-User Detection with Unknown Co-Channe
—Adaptive Turbo frequency-domain channel estimation is investigated for single-carrier (SC) multi-user detection in the presence of unknown co-channel interference (CCI). We prop...
Ye Wu, Xu Zhu, Asoke K. Nandi
ICASSP
2011
IEEE
12 years 10 months ago
Revisiting adaptive least-squares estimation and application to online sparse signal recovery
This paper presents a novel time-adaptive estimation technique by revisiting the classical Wiener-Hopf equation. Any convex and not necessarily differentiable function can be used...
Konstantinos Slavakis, Yannis Kopsinis, Sergios Th...
SIMPRA
2008
125views more  SIMPRA 2008»
13 years 6 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic