Publication:
Utilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation process

dc.citedby1
dc.contributor.authorSaleh N.L.en_US
dc.contributor.authorSali A.en_US
dc.contributor.authorAbdullah R.S.A.R.en_US
dc.contributor.authorAhmad S.M.S.en_US
dc.contributor.authorLiew J.T.en_US
dc.contributor.authorHashim F.en_US
dc.contributor.authorAbdullah F.en_US
dc.contributor.authorRashid N.E.A.en_US
dc.contributor.authorid57198797134en_US
dc.contributor.authorid22981598500en_US
dc.contributor.authorid56962777900en_US
dc.contributor.authorid24721182400en_US
dc.contributor.authorid57209739798en_US
dc.contributor.authorid57202656008en_US
dc.contributor.authorid56613644500en_US
dc.contributor.authorid57219237806en_US
dc.date.accessioned2025-03-03T07:48:46Z
dc.date.available2025-03-03T07:48:46Z
dc.date.issued2024
dc.description.abstractThis study introduces an enhanced structured signal processing scheme for detecting the ?transmit-echo? of mouth-click signals used by blind individuals for echolocation. The processing scheme is based on coexisting work on the detection of the mouth-click signal, with an additional band-pass filter process introduced before synthesis, multi-phase correlation, and summation. The level of side lobes at the output was improved by more than ?19 dB, and the number of local maxima was minimized by using a band-pass filter. The detection of ?transmit-echo? results using artificial mouth-click signal data was validated and achieved a 100% success rate in detecting obstacles at 60 cm, 80 cm, and 100 cm. Nonetheless, the detection scheme discussed in this investigation is thought to be intuitive, having been learned from the human hearing process. The emerging concepts in this research are expected to benefit radar and sonar system applications in the near future. ? 2023 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo113887
dc.identifier.doi10.1016/j.measurement.2023.113887
dc.identifier.scopus2-s2.0-85178002567
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85178002567&doi=10.1016%2fj.measurement.2023.113887&partnerID=40&md5=b11306a7dc87c1377ff9e980169a489f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/37215
dc.identifier.volume224
dc.publisherElsevier B.V.en_US
dc.sourceScopus
dc.sourcetitleMeasurement: Journal of the International Measurement Confederation
dc.subjectAudition
dc.subjectBiomimetics
dc.subjectSignal detection
dc.subjectSonar
dc.subjectTracking radar
dc.subjectBio-inspired
dc.subjectBlind individuals
dc.subjectFilter coefficients
dc.subjectGammatone filters
dc.subjectHuman echolocator
dc.subjectHuman mouth
dc.subjectPhase correlation
dc.subjectSide lobes
dc.subjectSignal's detections
dc.subjectSignal-processing
dc.subjectBandpass filters
dc.titleUtilizing gammatone filter coefficient to improve human mouth-click signal detection using a multi-phase correlation processen_US
dc.typeArticleen_US
dspace.entity.typePublication
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