Mathematical Modelling and Optimization Strategies for Acoustic Source Localization in Reverberant Environments

Título	Mathematical Modelling and Optimization Strategies for Acoustic Source Localization in Reverberant Environments
Tipo de publicación	PhD Thesis
Año de publicación	2017
Thesis Advisor(s)	Pizarro, D, Macias-Guarasa, J
Autores	Velasco, JF
Idioma de publicación	English
Departamento académico	Electronics
Universidad	Alcala
Fecha de publicación	03/2017
Resumen	Thesis presented as compendium of articles (a summary document is also provided). The publications generated are: J. Velasco, D. Pizarro, J. Macias-Guarasa, y A. Asaei, «TDOA Matrices: Algebraic Properties and Their Application to Robust Denoising With Missing Data», IEEE Transactions on Signal Processing, vol. 64, n.º. 20, p. 5242 - 5254, 2016 J. Velasco, C. J. Martín-Arguedas, J. Macias-Guarasa, D. Pizarro, y M. Mazo, «Proposal and validation of an analytical generative model of SRP-PHAT power maps in reverberant scenarios», Signal Processing, vol. 119, p. 209-228, 2015 J. Velasco, D. Pizarro, y J. Macias-Guarasa, «Source Localization with Acoustic Sensor Arrays Using Generative Model Based Fitting with Sparse Constraints», Sensors, vol. 12, n.º. 10, p. 13781-13812, 2012

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20170315-phdthesis-josevelasco.pdf	9.78 MB

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