most citedGeometric-Algebra LMS Adaptive Filter and its Application to Rotation Estimation

38 citations · 49 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2023★ 9 cited

Distributed Universal Adaptive Networks

Cassio G. Lopes, Vítor H. Nascimento, Luiz F. O. Chamon

Adaptive networks (ANs) are effective real time techniques to process and track events observed by sensor networks and, more recently, to equip Internet of Things (IoT) application…

eess.SY2016★ 1 cited

Nonlinear Adaptive Algorithms on Rank-One Tensor Models

Felipe C. Pinheiro, Cassio G. Lopes

This work proposes a low complexity nonlinearity model and develops adaptive algorithms over it. The model is based on the decomposable---or rank-one, in tensor language---Volterra…

math.OC2016

Geometric-Algebra Adaptive Filters

Wilder B. Lopes, Cassio G. Lopes

This paper presents a new class of adaptive filters, namely Geometric-Algebra Adaptive Filters (GAAFs). They are generated by formulating the underlying minimization problem (a det…

math.OC2016

Combination of LMS Adaptive Filters with Coefficients Feedback

Luiz F. O. Chamon, Cassio G. Lopes

Parallel combinations of adaptive filters have been effectively used to improve the performance of adaptive algorithms and address well-known trade-offs, such as convergence rate v…

eess.SY2016★ 1 cited

A Nonlinear Adaptive Filter Based on the Model of Simple Multilinear Functionals

Felipe C. Pinheiro, Cássio G. Lopes

Nonlinear adaptive filtering allows for modeling of some additional aspects of a general system and usually relies on highly complex algorithms, such as those based on the Volterra…

cs.CV2016★ 38 cited

Geometric-Algebra LMS Adaptive Filter and its Application to Rotation Estimation

Wilder B. Lopes, Anas Al-Nuaimi, Cassio G. Lopes

This paper exploits Geometric (Clifford) Algebra (GA) theory in order to devise and introduce a new adaptive filtering strategy. From a least-squares cost function, the gradient is…