One of the most important aspects in operation rail vehicles is implementation transport while ensuring safety and comfort passengers. Technical condition wheel rolling surfaces has a direct impact on these factors. These elements are subject to wear tear continuous discrete form. forms wheel-flat that generate impulse noise. This translates into significant deterioration vibroacoustic comfort,...

In this paper, we propose a novel target acoustic signal detection approach which is based on non-negative matrix factorization (NMF). Target basis vectors are trained from the target signal database through NMF, and input vectors are projected onto the subspace spanned by these target basis vectors. By analyzing the distribution of time-varying normalized projection error, the optimal threshol...

background and aim : the hearing loss and acoustic feedback signal in the binaural hearing aids may annoy users, make speech reorganization difficult, and affect the sound quality. this paper presents a new method for acoustic feedback suppression in binaural hearing aids, based on the combination of binaural information and blind source separation. this method can enhance sound from the specif...

Abstract Ultrasonic signal enhancement resulting from constructive interference between direct Rayleigh waves and same reflected by a surface defect is exploited to increase crack identification capabilities of the Gas-Coupled Laser Acoustic Detection (GCLAD) non-contact detection technology. Highlights simulations are provided regarding phenomenon in solid its propagation air, where GCLAD occu...

This paper presents the formulation and performance analysis of four techniques for detection of a narrowband acoustic source in a shallow range-independent ocean using an acoustic vector sensor (AVS) array. The array signal vector is not known due to the unknown location of the source. Hence all detectors are based on a generalized likelihood ratio test (GLRT) which involves estimation of the ...

This article focuses on signal classification for deep-sea acoustic neutrino detection. In the deep sea, the background of transient signals is very diverse. Approaches like matched filtering are not sufficient to distinguish between neutrinolike signals and other transient signals with similar signature, which are forming the acoustic background for neutrino detection in the deep-sea environme...

The (Antares Modules for Acoustic Detection Under the Sea) AMADEUS system within the (Astronomy with a Neutrino Telescope and Abyss environmental RESsearch) ANTARES neutrino telescope is designed to investigate detection techniques for acoustic signals produced by particle cascades. While passing through a liquid a cascade deposits energy and produces a measurable pressure pulse. This can be us...

In this paper, we present a new method of language detection. This method is based on language pair discrimination using neural networks as classifier of acoustic features. No acoustic decomposition of the speech signal is needed. We present an application of our method for the detection of 11 languages for a signal duration of 3 seconds (OGI MLTS corpus). The obtained results highlight scores ...