Cargando…
Source Localization with Acoustic Sensor Arrays Using Generative Model Based Fitting with Sparse Constraints
This paper presents a novel approach for indoor acoustic source localization using sensor arrays. The proposed solution starts by defining a generative model, designed to explain the acoustic power maps obtained by Steered Response Power (SRP) strategies. An optimization approach is then proposed to...
Autores principales: | Velasco, Jose, Pizarro, Daniel, Macias-Guarasa, Javier |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545592/ https://www.ncbi.nlm.nih.gov/pubmed/23202021 http://dx.doi.org/10.3390/sl21013781 |
Ejemplares similares
-
Towards End-to-End Acoustic Localization Using Deep Learning: From Audio Signals to Source Position Coordinates
por: Vera-Diaz, Juan Manuel, et al.
Publicado: (2018) -
Partial Angular Sparse Representation Based DOA Estimation Using Sparse Separate Nested Acoustic Vector Sensor Array
por: Li, Jianfeng, et al.
Publicado: (2018) -
Three-Dimensional Source Localization with Sparse Symmetric Cross Array
por: Wu, Haowei, et al.
Publicado: (2022) -
Reweighted Off-Grid Sparse Spectrum Fitting for DOA Estimation in Sensor Array with Unknown Mutual Coupling
por: Li, Liangliang, et al.
Publicado: (2023) -
An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge
por: Yan, Jiaming, et al.
Publicado: (2023)