Open Access
Adaptive Signal Processing: Next Generation Solutions
Esa Ollila,Visa Koivunen +1 more
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The article was published on 2010-01-01 and is currently open access. It has received 45 citations till now. The article focuses on the topics: Adaptive filter.read more
Citations
More filters
Journal ArticleDOI
Extension of Wirtinger's Calculus to Reproducing Kernel Hilbert Spaces and the Complex Kernel LMS
TL;DR: The notion of Wirtinger's calculus is extended, for the first time, to include complex RKHSs and use it to derive several realizations of the complex kernel least-mean-square (CKLMS) algorithm, verifying that the CKLMS offers significant performance improvements over several linear and nonlinear algorithms, when dealing with nonlinearities.
Journal ArticleDOI
Large-Scale Multiantenna Multisine Wireless Power Transfer
Yang Huang,Bruno Clerckx +1 more
TL;DR: Simulation results show that the proposed algorithms (based on the nonlinear model) can benefit from an increasing number of sinewaves at a computational cost much lower than the existing method, and indicate that the large-scale WPT architecture can boost the end-to-end power transfer efficiency and the transmission range.
Journal ArticleDOI
Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients
TL;DR: The proposed framework for non-linear online supervised learning tasks in the context of complex valued signal processing is presented and the sparsification scheme, based on projection onto closed balls, has been adopted.
Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties This paper introduces two powerful data-driven models and provides guidance on the selection of a given model and its implementation while emphasizing the general applicability of the two models.
TL;DR: Two multivariate solutions for multimodal data fusion that let multiple modalities fully interact for the estimation of underlying features that jointly report on all modalities are focused on.
Journal ArticleDOI
The Augmented Complex Kernel LMS
TL;DR: It is shown that, although in many cases the gains from adopting widely linear estimation filters, as alternatives to ordinary linear ones, are rudimentary, for the case of kernel based widely linear filters significant performance improvements can be obtained.
References
More filters
Journal ArticleDOI
Extension of Wirtinger's Calculus to Reproducing Kernel Hilbert Spaces and the Complex Kernel LMS
TL;DR: The notion of Wirtinger's calculus is extended, for the first time, to include complex RKHSs and use it to derive several realizations of the complex kernel least-mean-square (CKLMS) algorithm, verifying that the CKLMS offers significant performance improvements over several linear and nonlinear algorithms, when dealing with nonlinearities.
Journal ArticleDOI
Large-Scale Multiantenna Multisine Wireless Power Transfer
Yang Huang,Bruno Clerckx +1 more
TL;DR: Simulation results show that the proposed algorithms (based on the nonlinear model) can benefit from an increasing number of sinewaves at a computational cost much lower than the existing method, and indicate that the large-scale WPT architecture can boost the end-to-end power transfer efficiency and the transmission range.
Journal ArticleDOI
Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients
TL;DR: The proposed framework for non-linear online supervised learning tasks in the context of complex valued signal processing is presented and the sparsification scheme, based on projection onto closed balls, has been adopted.
Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties This paper introduces two powerful data-driven models and provides guidance on the selection of a given model and its implementation while emphasizing the general applicability of the two models.
TL;DR: Two multivariate solutions for multimodal data fusion that let multiple modalities fully interact for the estimation of underlying features that jointly report on all modalities are focused on.
Journal ArticleDOI
The Augmented Complex Kernel LMS
TL;DR: It is shown that, although in many cases the gains from adopting widely linear estimation filters, as alternatives to ordinary linear ones, are rudimentary, for the case of kernel based widely linear filters significant performance improvements can be obtained.