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NN
2010
Springer
189views Neural Networks» more  NN 2010»
14 years 5 months ago
Sparse kernel learning with LASSO and Bayesian inference algorithm
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
Junbin Gao, Paul W. Kwan, Daming Shi
IWANN
2001
Springer
15 years 3 months ago
Learning Adaptive Parameters with Restricted Genetic Optimization Method
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
Santiago Garrido, Luis Moreno
ICC
2007
IEEE
121views Communications» more  ICC 2007»
15 years 5 months 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
81
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GLOBECOM
2006
IEEE
15 years 5 months 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
WCE
2007
15 years 8 days ago
Performance Analysis of Adaptive Beamforming Algorithms for Orthogonal Frequency Division Multiplexing System
—Orthogonal Frequency Division Multiplexing (OFDM) is gaining popularity for high data rate communication systems. We propose the use of adaptive beamforming for interference rej...
Samra Jabeen, Shaheer Naeem, Syed Javed Hussain, A...