Spectral Biomimetic Technique for Wood Classification

Martínez Rojas, Juan Antonio and Vignote Peña, Santiago and Alpuente Hermosilla, Jesus and Sanchez Montero, Rocio and Lopez Espi, Pablo Luis and Martínez Rojas, Isaac (2012). Spectral Biomimetic Technique for Wood Classification. "Advances in Acoustics and Vibration", v. Volume ; pp. 1-8. ISSN 1687-6261. https://doi.org/10.1155/2012/378361.

Description

Title: Spectral Biomimetic Technique for Wood Classification
Author/s:
  • Martínez Rojas, Juan Antonio
  • Vignote Peña, Santiago
  • Alpuente Hermosilla, Jesus
  • Sanchez Montero, Rocio
  • Lopez Espi, Pablo Luis
  • Martínez Rojas, Isaac
Item Type: Article
Título de Revista/Publicación: Advances in Acoustics and Vibration
Date: 2012
Volume: Volume
Subjects:
Faculty: E.T.S.I. Montes (UPM)
Department: Economía y Gestión Forestal [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Palatal clicks are most interesting for human echolocation. Moreover, these sounds are suitable for other acoustic applications due to their regular mathematical properties and reproducibility. Simple and nondestructive techniques, bioinspired by synthetized pulses whose form reproduces the best features of palatal clicks, can be developed. The use of synthetic palatal pulses also allows detailed studies of the real possibilities of acoustic human echolocation without the problems associated with subjective individual differences. These techniques are being applied to the study of wood. As an example, a comparison of the performance of both natural and synthetic human echolocation to identify three different species of wood is presented. The results show that human echolocation has a vast potential.

More information

Item ID: 13650
DC Identifier: http://oa.upm.es/13650/
OAI Identifier: oai:oa.upm.es:13650
DOI: 10.1155/2012/378361
Official URL: http://www.hindawi.com/journals/aav/2012/378361/
Deposited by: Memoria Investigacion
Deposited on: 11 Oct 2012 08:54
Last Modified: 21 Apr 2016 12:58
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