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Adaptive control charts for attributes
(2003-06-01)
We develop a general model for adaptive c, np, u and p control charts in which one, two or three design parameters (sample size, sampling interval and control limit width) switch between two values, according to the most ...
Improving the tracking capability of adaptive filters via convex combination
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
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 blind equalization) converge much faster ...
Stochastic stability analysis for the constant-modulus algorithm
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
We derive an easy-to-compute approximate bound for the range of step-sizes for which the constant-modulus algorithm (CMA) will remain stable if initialized close to a minimum of the CM cost function. Our model highlights ...
2D amplitude-modulation frequency-modulation - based method for motion estimation
(Institute of Electrical and Electronics Engineers, 2015-02)
We present a new approach to compute the motion estimation in digital videos using 2D amplitude-modulation frequency-modulation (AM-FM) methods. The optical flow vectors are computed using an iteratively reweighted norm ...
2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation
(Institute of Electrical and Electronics Engineers, 2014-12)
We present a first approach to a new method to compute the motion estimation in digital videos using the two-dimensional instantaneous frequency information computed using amplitude-modulation frequency-modulation (AM-FM) ...
The Variable Sample Size (X)over-bar Chart with Estimated Parameters
(Wiley-Blackwell, 2012-11-01)
The VSS X chart, dedicated to the detection of small to moderate mean shifts in the process, has been investigated by several researchers under the assumption of known process parameters. In practice, the process parameters ...
Robust parallel fast-ICA algorithms using batch and adaptive MMSE estimators
(Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación, 2012)
All the algorithms for ICA require high-order statistics to estimate the independent components. This is because second-order information is insufficient to assess that two random variables are independent of each other. ...
Distributed Estimation Over an Adaptive Incremental Network Based on the Affine Projection Algorithm
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
We study the problem of distributed estimation based on the affine projection algorithm (APA), which is developed from Newton`s method for minimizing a cost function. The proposed solution is formulated to ameliorate the ...
A Posteriori Error Estimators for Hierarchical B-Spline Discretizations
(World Scientific, 2018-07)
In this paper we develop function-based a posteriori error estimators for the solution of linear second order elliptic problems considering hierarchical spline spaces for the Galerkin discretization. We obtain a global ...