Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/214477
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dc.titleAUDIBLE SOUND SENSING ENHANCEMENT VIA STRUCTURAL COUPLED DESIGNS OF BROADBAND METAMATERIAL
dc.contributor.authorJIA XIAO
dc.date.accessioned2022-01-31T18:00:26Z
dc.date.available2022-01-31T18:00:26Z
dc.date.issued2021-08-18
dc.identifier.citationJIA XIAO (2021-08-18). AUDIBLE SOUND SENSING ENHANCEMENT VIA STRUCTURAL COUPLED DESIGNS OF BROADBAND METAMATERIAL. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/214477
dc.description.abstractAcoustic sensors play an important part in military, scientific, and industrial applications. Current audible sound sensing performance is mainly limited by the minimum detectable pressure of the sensor material and the energy transmission efficiency of the metamaterial component. A practical solution is to enhance the detection limit of an audible sensing device with additional amplification components and bring in impedance matching designs for high-refractive-index metamaterials containing complex internal structures. In the thesis, impedance-gradient metamaterials with structural coupled designs (SCDs) are developed and investigated to increase the overall energy efficiency and improve the audible sound sensing ability of a measurement device. Moreover, by applying SCDs, the quarter-wavelength acoustic resonator and the anisotropic sonic crystals can realize broadband sound pressure amplification. The two metamaterial-enhanced sensing systems provide broadband improvements of signal-to-noise ratio (SNR) with incident signals below the detection limit of the measurement devices.
dc.language.isoen
dc.subjectAcoustics, metamaterial, signal-to-noise ratio, transmittance, broadband, impedance-matching
dc.typeThesis
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.supervisorHong Minghui
dc.contributor.supervisorMING YAN
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY (FOE)
Appears in Collections:Ph.D Theses (Open)

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