Study of the Optimal Waveforms for Non-Destructive Spectral Analysis of Aqueous Solutions by Means of Audible Sound and Optimization Algorithms

Autor: Pilar García Díaz, Manuel Utrilla Manso, Jesús Alpuente Hermosilla, Juan A. Martínez Rojas

Publikováno v: Applied Sciences, Vol 11, Iss 16, p 7301 (2021)

Acoustic analysis of materials is a common non-destructive technique, but most efforts are focused on the ultrasonic range. In the audible range, such studies are generally devoted to audio engineering applications. Ultrasonic sound has evident advan

Externí odkaz: https://doaj.org/article/22a3474dfddb4d0d8e8eaeebd84b1cac

Physical Analysis of Several Organic Signals for Human Echolocation: Hand and Finger Produced Pulses

Autor: Jesús Alpuente Hermosilla, Pablo Luis López Espí, Rocío Sánchez Montero, Juan Antonio Martínez Rojas

Publikováno v: Acta Acustica united with Acustica. 96:1069-1077

In the first part of this work we studied several oral signals suitable for human echolocation. Palatal clicks were proven to be optimal pulses for this task. In the second part of this series, we analyze, from a physical and psychoacoustical point o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::78903b8a7dbdc816286decdad7cc46fb
https://doi.org/10.3813/aaa.918368

Spectral Biomimetic Technique for Wood Classification Inspired by Human Echolocation

Autor: Isaac Martínez Rojas, Santiago Vignote Peña, Pablo Luis López Espí, Jesús Alpuente Hermosilla, Rocío Sánchez Montero, Juan Antonio Martínez Rojas

Publikováno v: Advances in Acoustics and Vibration, ISSN ISSN 1687-6261, 2012-08, Vol. 2012, No. 378361
Advances in Acoustics and Vibration, Vol 2012 (2012)

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 syn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffdbe9248b57fe8cc73e5c445579e195
http://oa.upm.es/20199/