scholarly journals Determination of the Source Localization and the Beginning Time of the Acoustic Signal

Author(s):  
Rostyslav Romanyshyn ◽  
Galyna Romanyshyn ◽  
Igor Romanyshyn
2013 ◽  
Vol 543 ◽  
pp. 171-175
Author(s):  
Jose Andrés Somolinos ◽  
Rafael Morales ◽  
Carlos Morón ◽  
Alfonso Garcia

In the last years, many analyses from acoustic signal processing have been used for different applications. In most cases, these sensor systems are based on the determination of times of flight for signals from every transducer. This paper presents a flat plate generalization method for impact detection and location over linear links or bars-based structures. The use of three piezoelectric sensors allow to achieve the position and impact time while the use of additional sensors lets cover a larger area of detection and avoid wrong timing difference measurements. An experimental setup and some experimental results are briefly presented.


The Analyst ◽  
2014 ◽  
Vol 139 (16) ◽  
pp. 3918-3925 ◽  
Author(s):  
Konstantinos Mitsakakis ◽  
Achilleas Tsortos ◽  
Electra Gizeli

A multi-analyte acoustic biosensor determines the molecular weight of proteinsviathe phase change of the acoustic signal.


1994 ◽  
Vol 04 (C5) ◽  
pp. C5-1113-C5-1116
Author(s):  
V. N. FOKIN ◽  
A. G. NECHAEV ◽  
M. S. FOKINA
Keyword(s):  

Acta Acustica ◽  
2021 ◽  
Vol 5 ◽  
pp. 44
Author(s):  
Stefan Gombots ◽  
Manfred Kaltenbacher ◽  
Barbara Kaltenbacher

We present the capabilities of a recently developed inverse scheme for source localization at low frequencies within an arbitrary acoustic environment. The inverse scheme is based on minimizing a Tikhonov functional matching measured microphone signals with simulated ones. We discuss the sensitivity of all involved parameters, the precision of geometry and physical boundary modeling for the numerical simulation using the finite element (FE) method, and the automatic determination of the positions of the recording microphones being distributed around the object of investigation. Finally, we apply the inverse scheme to a real-world scenario and compare the obtained results to state-of-the-art signal processing approaches, e.g. Clean-SC.


2005 ◽  
Vol 11 (2) ◽  
Author(s):  
V. Muha ◽  
S. Istella ◽  
D. Tompos

During our experiments, the storability of paprika (Capsicum annuum) samples was measured by a non-destructive acoustic method. The aims of our work were the determination of the applicability and reproducibility of the acoustic stiffness method for paprika, the investigation of the optimum measuring conditions. In order to compare the main paprika varieties regarding shelf-life, our further aim was to follow the softening phenomenon or textural changes (i.e. changes in stiffness) of different paprika varieties measured by the non­destructive acoustic stiffness method. Five different varieties of paprika grown in hydroponics growing system were used for the measurements. All paprika varieties were stored at 20 °C for two weeks. Samples were tested on every 2nd or 3rd day. The acoustic method was found to be suitable to follow the softening of paprika samples. The characteristic frequency of the acoustic signal could be well detected and clearly separated from the other vibration peaks. Tapping the top of the paprika was observed to give a clearer and less noisy signal compared to the signal obtained by tapping the sample's shoulder. The acoustic results showed the same tendencies with regard to softening during storage as the impact method showed in our previous experiments.


2018 ◽  
Author(s):  
Christian Brodbeck ◽  
Alessandro Presacco ◽  
Samira Anderson ◽  
Jonathan Z. Simon

1SummaryPrevious research has found that, paradoxically, while older adults have more difficulty comprehending speech in challenging circumstances than younger adults, their brain responses track the acoustic signal more robustly. Here we investigate this puzzle by using magnetoencephalography (MEG) source localization to determine the anatomical origin of this difference. Our results indicate that this robust tracking in older adults does not arise merely from having the same responses as younger adults but with larger amplitudes; instead they recruit additional regions, inferior to core auditory cortex, as part of an early response peak at ~ 30 ms relative to the acoustic signal.


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