Proceedings ArticleDOI
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 +5 more
- pp 5662-5666
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TLDR
In this paper , the least-mean-square (LMS) and normalized LMS (NLMS) algorithms with symmetric/antisymmetric properties (termed here LMS-SAS and NLMS -SAS) are proposed.Abstract:
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 symmetric or antisymmetric properties, which can be further formulated by using a combination of bilinear forms. Based on such an approach, the least-mean-square (LMS) and normalized LMS (NLMS) algorithms with symmetric/antisymmetric properties (termed here LMS-SAS and NLMS-SAS) are proposed. Simulation results are shown confirming the improved convergence speed achieved by the proposed algorithms as compared to the conventional LMS and NLMS counterparts for different operating scenarios.read more
Citations
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Proceedings ArticleDOI
An RLS Algorithm for the Identification of Impulse Responses with Particular Symmetric Properties
Ionuț-Dorinel Fîciu,Camelia Elisei-Iliescu,Cristian Stanciu,Constantin Paleologu,Jacob Benesty,Cristian Anghel +5 more
TL;DR: This paper develops a recursive least-squares algorithm customized for systems with particular symmetric/antisymmetric features, which are handled using combinations of bilinear models.
A Kalman Filter for the Identification of Impulse Responses with Particular Symmetry Features
Ionuț-Dorinel Fîciu,Laura-Maria Dogariu,Ruxandra L. Costea,Constantin Paleologu,Jacob Benesty,Silviu Ciochina +5 more
TL;DR: In this article , a Kalman filter is used to identify long-length impulse responses in the context of long-range impulse response identification, which consists in a combination of bilinear forms that own particular symmetry features.
Journal ArticleDOI
Nueva variante del algoritmo NLMS/F de bajo costo computacional
Laura Jazmín Hidalgo Hernández,Ángel Alfonso Vázquez Piña,Xochitl Maya Rosales,Juan Gerardo Avalos Ochoa,Giovanny Sánchez Rivera +4 more
TL;DR: In this paper , a nueva variante of the NLMS/F, called Normalized Least-Mean-Fourth (NLMF), is presented, based on the conjunto de membresías, and a método that permite ajustar el factor de convergencia de forma automática.
Proceedings ArticleDOI
An Affine Projection Algorithm for the Identification of Impulse Responses with Symmetric/Antisymmetric Characteristics
Laura-Maria Dogariu,Constantin Paleologu,Jacob Benesty,Silviu Ciochina,Eduardo Vinicius Kuhn,Augusto Cesar Becker,Marcos Vinicius Matsuo +6 more
TL;DR: In this paper , an affine projection algorithm (APA) tailored for the identification of system impulse responses with intrinsic symmetric/antisymmetric characteristics is presented, which uses a combination, based on the Kronecker product decomposition, of two (short length) adaptive filters to efficiently estimate a long length system impulse response.
Proceedings ArticleDOI
An iterative Wiener filter for the identification of impulse responses with particular symmetric properties
TL;DR: In this paper , the authors extended this particular symmetric filter in the context of linear system identification, aiming to estimate more general types of impulse responses, especially in more challenging scenarios (e.g., limited amount of data and/or noisy conditions).
References
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The ubiquitous Kronecker product
TL;DR: The Kronecker product has a rich and very pleasing algebra that supports a wide range of fast, elegant, and practical algorithms and several trends in scientific computing suggest that this important matrix operation will have an increasingly greater role in the future.
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Advances in Network and Acoustic Echo Cancellation
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Acoustic signal processing for telecommunication
TL;DR: This chapter discusses multi-Channel Sound, Acoustic Echo Cancellation, and Multi-Channel Time-Domain Adaptive Filtering, and an Introduction to Blind Source Separation of Speech Signals.
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On Regularization in Adaptive Filtering
TL;DR: This paper proposes one possible way to regularize an adaptive filter based on a condition that intuitively makes sense and shows how to regularized four important algorithms: the normalized least-mean-square (NLMS), the signed-regressor NLMS (SR-NLMS, the improved proportionate NLMS, and the SR-IPNLMS.
Journal ArticleDOI
A Tensor-Based Method for Large-Scale Blind Source Separation Using Segmentation
TL;DR: A new deterministic method for blind source separation is proposed that exploits the low-rank structure, enabling a unique separation of the source signals and providing a way to cope with large-scale data.
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