Constantin Paleologu — accepted AI-conference papers

2022

LMS and NLMS Algorithms for the Identification of Impulse Responses with Intrinsic Symmetric or Antisymmetric Properties

Jacob Benesty, Constantin Paleologu, Silviu Ciochina, Eduardo Vinicius Kuhn, Khaled Jamal Bakri, Rui Seara

ICASSP 2022accepted

In applications involving system identification problems, some characteristics of the impulse response of the system to be identified are usually exploited to design adaptive algorithms with improved performance. In this context, this paper focuses on the identification of systems that own intrinsic…

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2019

A Recursive Least-squares Algorithm Based on the Nearest Kronecker Product Decomposition

Camelia Elisei-Iliescu, Constantin Paleologu, Jacob Benesty, Silviu Ciochina

ICASSP 2019accepted

The recursive least-squares (RLS) adaptive filter is an appealing choice in system identification problems, mainly due to its fast convergence rate. However, this algorithm is computationally very complex, which may make it useless for the identification of high length impulse responses, like in ech…

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2018

Identification of Bilinear Forms with the Kalman Filter

Laura-Maria Dogariu, Constantin Paleologu, Silviu Ciochina, Jacob Benesty, Pablo Piantanida

ICASSP 2018accepted

In this paper, we develop the Kalman filter for the identification of bilinear forms. In this framework, the bilinear term is defined with respect to the impulse responses of a spatiotemporal model, which resembles a multiple-input/single-output system. Recently, the identification of such bilinear…

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