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Título : Design and Evaluation of a Scalable and Reconfigurable Multi-Platform System for Acoustic Imaging
Autor : Izquierdo, Alberto
Villacorta, Juan José
Val Puente, Lara del
Suarez Vivar, Luis Alfredo
Publicado en: Sensors, 2015, V. 16, n. 10, art. 1671
Editorial : MDPI
Fecha de publicación : oct-2016
Resumen : This paper proposes a scalable and multi-platform framework for signal acquisition and processing, which allows for the generation of acoustic images using planar arrays of MEMS (Micro-Electro-Mechanical Systems) microphones with low development and deployment costs. Acoustic characterization of MEMS sensors was performed, and the beam pattern of a module, based on an 8 × 8 planar array and of several clusters of modules, was obtained. A flexible framework, formed by an FPGA, an embedded processor, a computer desktop, and a graphic processing unit, was defined. The processing times of the algorithms used to obtain the acoustic images, including signal processing and wideband beamforming via FFT, were evaluated in each subsystem of the framework. Based on this analysis, three frameworks are proposed, defined by the specific subsystems used and the algorithms shared. Finally, a set of acoustic images obtained from sound reflected from a person are presented as a case study in the field of biometric identification. These results reveal the feasibility of the proposed system
Palabras clave: MEMS array
scalable system
multi-platform framework
acoustic imaging
URI : http://hdl.handle.net/10259/4409
Versión del editor: http://dx.doi.org/10.3390/s16101671
Aparece en las colecciones: Artículos Mecánica de Medios Continuos y Teoría de Estructuras

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