Name
Title | ||
|---|---|---|
Convergence of Minimum-Entropy Robust Estimators: Applications in DSP and Instrumentation |
Abstract | ||
|---|---|---|
In this paper we propose to continue in the same researchline initiated by Pronzato and Thierry [A minimum-entropy estimator for regression problems with unknown distribution of observation errors],[Entropy minimization of parameter estimator with unknown distribution of observation erros], recent works inspired in the minimum-entropy estimationhave been published by De la Rosa and Fleury [On the Kernel selection for Minimum-Entropy estimation],[Minimum-Entropy, pdf approximation and Kernel selection for measurement estimation] in the instrumentation framework. An statistical modelhas been established to represent some instrumental signals,similarly, some limited hypothesis over such a modelhave been made. In fact, we assume limited knowledge ofthe noise or external perturbations distribution that interactinto the system. The use of robust estimators in such situationsis very helpful, since the real systems are always exposedto continuous perturbations of unknown nature. Someapplications where the last is true are: medical instrumentation,industrial processes, in telecommunications amongothers. Some results of new minimum-entropy estimatorsfor linear and nonlinear models are presented, such resultscomplement those presented by Pronzato and Thierry. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICECC.2004.1269556 | CONIELECOMP |
Keywords | DocType | Volume |
unknown nature,unknown distribution,kernel selection,instrumentation framework,limited knowledge ofthe noise,minimum-entropy estimation,limited hypothesis,minimum-entropy estimationhave,minimum-entropy estimator,minimum-entropy robust estimators,external perturbations distribution,robust estimator,entropy estimation,parameter estimation,statistical analysis,statistical model,signal processing | Conference | 10 |
Issue | ISSN | ISBN |
2 | 2474-9036 | 0-7695-2074-X |
Citations | PageRank | References |
2 | 0.37 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Ismael de la Rosa Vargas | 1 | 10 | 5.29 |
| de la rosa vargas | 2 | 2 | 0.37 |