Characterization of the vibration response of miniature microphones by subtraction
| Autor: | Daniel M. Warren, Jonathan D. Walsh, Quang T. Su |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Signal processing
010504 meteorology & atmospheric sciences Acoustics and Ultrasonics InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g. HCI) Microphone Computer science Acoustics Noise vibration and harshness 010502 geochemistry & geophysics 01 natural sciences Signal Vibration Vibration isolation Arts and Humanities (miscellaneous) Computer Science::Sound Physics::Atomic and Molecular Clusters ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Vacuum chamber Shaker Physics::Chemical Physics Sensitivity (electronics) 0105 earth and related environmental sciences |
| Zdroj: | The Journal of the Acoustical Society of America. 141:3677-3677 |
| ISSN: | 0001-4966 |
| DOI: | 10.1121/1.4987985 |
| Popis: | Presented is a test methodology for characterizing the vibration sensitivity of miniature microphones for hearing aids. A common method for obtaining the vibration sensitivity of a system is to use an electrodynamic shaker to deliver a calibrated vibration input and measure the corresponding output. When the system under test is a microphone, it is difficult to obtain the vibration response since the measured output will also be due to coherent sound created by the vibration delivery system. The method models the microphone as a system with two inputs, vibration and sound, with one electronic output. Using frequency-domain signal processing, this method extracts the vibration response from a shaker-driven signal by subtracting a synthesized acoustic response signal. When compared to vibration measurements under vacuum, the vibration responses from the two methods generally agree. The vibration response estimates produced using this algorithm are more accurate than vacuum chamber data due to the loading an... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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