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Subglottal Impedance-Based Model Parameter Estimation via System Identification⁎⁎This work has been supported by ANID (through grants Advanced Center for Electrical and Electronic Engineering FB0008, ECOS 210008, FONDECYT 1230623 and Doctorado Nacional 21202402 scholarship), Universidad Técnica Federico Santa María (through grant PIIC 015/2021), and the National Institute of Health and National Institute on Deafness and Other Communication Disorders (through grant NIH P50DC015446). VE would like
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On the Uncertainty Modelling for Linear Continuous-Time Systems Utilising Sampled Data and Gaussian Mixture Models⁎⁎This work was supported by ANID/Doctorado Nacional/2017-21170804, ANID-FONDECYT grants 1211630 and 11201187, DPP at Universidad Técnica Federico Santa María and the Advanced Center for Electrical and Electronic Engineering, AC3E, Basal Project FB0008, ANID, Chile
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On Filtering Methods for State-Space Systems having Binary Output Measurements⁎⁎This work was partially supported by FONDECYT through grant No 1181158, Chilean National Agency for Research and Development (ANID) Scholarship Program/Doctorado Nacional/2020-21202410, PIIC program of DGP at Universidad Tecnica Federico Santa María No 016/2020 and the Advanced Center for Electrical and Electronic Engineering, AC3E, Basal Project FB0008, ANID, Chile
Veröffentlicht in IFAC-PapersOnLine
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EM-based identification of static errors-in-variables systems utilizing Gaussian Mixture models⁎⁎This work was partially supported by FONDECYT through grant No 1181158, PIIC program 2019-2020 of DGP at Universidad Tecnica Federico Santa María and the Advanced Center for Electrical and Electronic Engineering, AC3E, Basal Project FB0008, ANID, Chile
Veröffentlicht in IFAC-PapersOnLine
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Maximum Likelihood Infinite Mixture Distribution Estimation Utilizing Finite Gaussian Mixtures⁎⁎This work was partially supported by FONDECYT trough grant No 1181158, the DGIIP at Universidad Tecnica Federico Santa María and the Advanced Center for Electrical and Electronic Engineering (AC3E, Proyecto Basal FB0008), Chile
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Model Error Modelling using a Stochastic Embedding approach with Gaussian Mixture Models for FIR systems⁎⁎This work was partially supported by FONDECYT trough grant No 1181158, PIIC program 05/2019 of DGP at Universidad Tecnica Federico Santa Maria and the Advanced Center for Electrical and Electronic Engineering, AC3E, Basal Project FB0008, ANID, Chile
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Belokurov-Usyukina loop reduction in non-integer dimension
Veröffentlicht in Physics of particles and nuclei
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