Ronald K. Pearson - researchr alias

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Viewing Publication 1 - 28 from 28

2016

Generalized Hampel FiltersRonald K. Pearson, Yrjö Neuvo, Jaakko Astola, Moncef Gabbouj. ejasp, 2016:87, 2016. [doi]

2015

The class of generalized hampel filtersRonald K. Pearson, Yrjö Neuvo, Jaakko Astola, Moncef Gabbouj. eusipco 2015: 2501-2505 [doi]

2009

Influence of the MedDRA:::®::: hierarchy on pharmacovigilance data mining resultsRonald K. Pearson, Manfred Hauben, David I. Goldsmith, A. Lawrence Gould, David Madigan, Donald J. O Hara, Stephanie J. Reisinger, Alan Hochberg. ijmi, 78(12):97-103, 2009. [doi]

2006

Nonlinear empirical modeling techniquesRonald K. Pearson. cce, 30(10-12):1514-1528, 2006. [doi]

The problem of disguised missing dataRonald K. Pearson. sigkdd, 8(1):83-92, 2006. [doi]

2005

2004

Analytical Evaluation of Clustering Results Using Computational Negative ControlsRonald K. Pearson, Tom Zylkin, James S. Schwaber, Gregory E. Gonye. sdm 2004: 188-199 [doi]

Finite set DSP, with applications to DNA sequencesRonald K. Pearson, Gregory E. Gonye, Moncef Gabbouj. eusipco 2004: 1899-1902 [doi]

2003

2002

Scale-invariant nonlinear digital filtersRonald K. Pearson. tsp, 50(8):1986-1993, 2002. [doi]

Outliers in process modeling and identificationRonald K. Pearson. tcst, 10(1):55-63, 2002. [doi]

Systems with associative dynamicsRonald K. Pearson, Ülle Kotta, Sven Nomm. kybernetika, 38(5):585-600, 2002. [doi]

2001

A recursive variant of Mallows' filter classRonald K. Pearson. tsp, 49(11):2745-2752, 2001. [doi]

2000

Homogeneous nonlinear digital filtersRonald K. Pearson. eusipco 2000: 1-4 [doi]

Filter categories preserving desirable signal characteristicsRonald K. Pearson. eusipco 2000: 1-4 [doi]

Some relations between stability and smoothness in discrete-time dynamic modelsRonald K. Pearson, Bjarne A. Foss. amcc 2000: 1385-1389 [doi]

1999

Plant-friendly identification of second-order Volterra modelsFrancis J. Doyle III, R. S. Parker, Ronald K. Pearson, Babatunde A. Ogunnaike. eucc 1999: 1096-1101 [doi]

Nonlinear filters with symmetry constraintsRonald K. Pearson. nsip 1999: 70-74

Data cleaning for dynamic modeling and controlRonald K. Pearson. eucc 1999: 2584-2589 [doi]

Empirical models that exhibit monotone responses to monotone inputsRonald K. Pearson. eucc 1999: 2578-2583 [doi]

1996

Nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra modelsBryon R. Maner, Francis J. Doyle III, Babatunde A. Ogunnaike, Ronald K. Pearson. automatica, 32(9):1285-1301, 1996. [doi]

Identification of structurally constrained second-order Volterra modelsRonald K. Pearson, Babatunde A. Ogunnaike, Francis J. Doyle III. tsp, 44(11):2837-2846, 1996. [doi]

1995

Nonlinear model-based control using second-order Volterra modelsFrancis J. Doyle III, Babatunde A. Ogunnaike, Ronald K. Pearson. automatica, 31(5):697-714, 1995. [doi]

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