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A Regularized Robust Design Criterion for Uncertain Data
This paper formulates and solves a robust criterion for least-squares designs in the presence of uncertain data. Compared with earlier studies, the proposed criterion incorporates simultaneously bothExpand
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Sparsity-aware affine projection adaptive algorithms for system identification
In this paper, we propose adaptive algorithms for system identification of sparse systems. We introduce a L1-norm penalty to improve the performance of affine projection algorithms. This strategyExpand
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Improving the Tracking Capability of Adaptive Filters via Convex Combination
As is well known, Hessian-based adaptive filters (such as the recursive-least squares algorithm (RLS) for supervised adaptive filtering, or the Shalvi-Weinstein algorithm (SWA) for blindExpand
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Transient and Steady-State Analysis of the Affine Combination of Two Adaptive Filters
In this paper, we propose an approach to the transient and steady-state analysis of the affine combination of one fast and one slow adaptive filters. The theoretical models are based on expressionsExpand
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DCD-RLS Adaptive Filters With Penalties for Sparse Identification
In this paper, we propose a family of low-complexity adaptive filtering algorithms based on dichotomous coordinate descent (DCD) iterations for identification of sparse systems. The proposedExpand
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Homotopy algorithm using dichotomous coordinate descent iterations for sparse recovery
We propose a computationally efficient technique for recovery of sparse signals, which is based on dichotomous coordinate descent iterations, homotopy, and reweighting. We derive optimal rules forExpand
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Design criteria for uncertain models with structured and unstructured uncertainties
This paper introduces and solves a weighted game-type cost criterion for estimation and control purposes that allows for a general class of uncertainties in the model or data. Both structured andExpand
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A transient analysis for the convex combination of two adaptive filters with transfer of coefficients
This paper proposes an improved model for the transient of convex combinations of adaptive filters. A previous model, based on a first-order Taylor series approximation of the nonlinear functionsExpand
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A Mean-Square Stability Analysis of the Least Mean Fourth Adaptive Algorithm
This paper presents a new convergence analysis of the least mean fourth (LMF) adaptive algorithm, in the mean square sense. The analysis improves previous results, in that it is valid forExpand
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Efficient filtering structure for spline interpolation and decimation
An efficient structure for spline-based fractional delay filtering for interpolation/decimation is introduced. Inspired by the Newton structures for Lagrange interpolation, it requires less than halfExpand
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