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  4. Fully differential difference amplifier based microphone interface circuit and an adaptive signal to noise ratio analog front end for dual channel digital hearing aids
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Fully differential difference amplifier based microphone interface circuit and an adaptive signal to noise ratio analog front end for dual channel digital hearing aids

Full metadata

Description

A dual-channel directional digital hearing aid (DHA) front-end using a fully differential difference amplifier (FDDA) based Microphone interface circuit (MIC) for a capacitive Micro Electro Mechanical Systems (MEMS) microphones and an adaptive-power analog font end (AFE) is presented. The Microphone interface circuit based on FDDA converts the capacitance variations into voltage signal, achieves a noise of 32 dB SPL (sound pressure level) and an SNR of 72 dB, additionally it also performs single to differential conversion allowing for fully differential analog signal chain. The analog front-end consists of 40dB VGA and a power scalable continuous time sigma delta ADC, with 68dB SNR dissipating 67u¬W from a 1.2V supply. The ADC implements a self calibrating feedback DAC, for calibrating the 2nd order non-linearity. The VGA and power scalable ADC is fabricated on 0.25 um CMOS TSMC process. The dual channels of the DHA are precisely matched and achieve about 0.5dB gain mismatch, resulting in greater than 5dB directivity index. This will enable a highly integrated and low power DHA

Date Created
2011
Contributors
  • Naqvi, Syed Roomi (Author)
  • Kiaei, Sayfe (Thesis advisor)
  • Bakkaloglu, Bertan (Committee member)
  • Chae, Junseok (Committee member)
  • Barnby, Hugh (Committee member)
  • Aberle, James T., 1961- (Committee member)
  • Arizona State University (Publisher)
Topical Subject
  • Electrical Engineering
  • Biomedical Engineering
  • Adaptive Signal to Noise ratio
  • Continuous Time Sigma Delta
  • Digital Hearing Aids
  • Dual Channel
  • Feedback DAC
  • Fully Differential Difference Amplifier
  • Differential amplifiers
  • Microelectromechanical Systems
  • Hearing aids--Design and construction.
  • Speech processing systems--Noise.
  • Speech processing systems
Resource Type
Text
Genre
Doctoral Dissertation
Academic theses
Extent
xii, 85 p. : ill. (some col.)
Language
eng
Copyright Statement
In Copyright
Reuse Permissions
All Rights Reserved
Primary Member of
ASU Electronic Theses and Dissertations
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.9325
Statement of Responsibility
by Syed Roomi Naqvi
Description Source
Viewed on Jul. 20, 2012
Level of coding
full
Note
Partial requirement for: Ph. D., Arizona State University, 2011
Note type
thesis
Includes bibliographical references (p. 83-85)
Note type
bibliography
Field of study: Electrical engineering
System Created
  • 2011-08-12 04:54:09
System Modified
  • 2021-08-30 01:52:00
  •     
  • 1 year 6 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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