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Related Concept Videos

Effects of feedback01:24

Effects of feedback

Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
Design Example: Vintage Mixing Console01:17

Design Example: Vintage Mixing Console

A sound engineer at a music company recently encountered a problem. The output from their newly acquired studio's vintage mixing console was too low for the requirements of modern recording equipment. To rectify this situation, the engineer decided to design an audio pre-amplifier using an operational amplifier (op-amp) to boost the signal level.
The specifications for the pre-amplifier were clear. It needed to amplify the audio signal by a factor of 10, have an input impedance above 10...
Design Example01:23

Design Example

The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
Auditory Pathway01:15

Auditory Pathway

Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
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Second-order Op Amp Circuits01:19

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Related Experiment Video

Updated: Jun 14, 2026

Electrically Evoked Stapedius Reflex Measurements in Cochlear Implantation and Its Application in the Postoperative Fitting Process
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Electrically Evoked Stapedius Reflex Measurements in Cochlear Implantation and Its Application in the Postoperative Fitting Process

Published on: June 21, 2024

Using a reflection model for modeling the dynamic feedback path of digital hearing aids.

Guilin Ma1, Fredrik Gran, Finn Jacobsen

  • 1Research Group, GN ReSound A/S, Lautrupbjerg 9, 2750 Ballerup, Denmark. gm@elektro.dtu.dk

The Journal of the Acoustical Society of America
|March 25, 2010
PubMed
Summary

This study models dynamic feedback paths in digital hearing aids, improving accuracy and stability. The reflection model offers better performance than existing methods, though complex environments present challenges for dual-microphone hearing aids.

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A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds
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Last Updated: Jun 14, 2026

Electrically Evoked Stapedius Reflex Measurements in Cochlear Implantation and Its Application in the Postoperative Fitting Process
07:00

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Published on: June 21, 2024

A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds
10:13

A Lightweight, Headphones-based System for Manipulating Auditory Feedback in Songbirds

Published on: November 26, 2012

Area of Science:

  • Audiology
  • Acoustics
  • Signal Processing

Background:

  • Hearing aid feedback whistling is a significant issue, particularly during dynamic user activities.
  • Understanding and modeling dynamic feedback paths is crucial for hearing aid performance.

Purpose of the Study:

  • To investigate the properties of dynamic feedback paths in digital hearing aids.
  • To propose and validate a novel reflection-based model for dynamic feedback paths.
  • To assess the extension of this model to dual-microphone hearing aid systems.

Main Methods:

  • Measurement of dynamic feedback paths in digital hearing aids.
  • Development of a reflection-based feedback path model.
  • Comparison of the proposed model against direct and initialization models using mean-square error and maximum stable gain.
  • Extension of the model to dual-microphone configurations.

Main Results:

  • The proposed reflection model demonstrates superior efficiency and accuracy in modeling dynamic feedback paths compared to existing models.
  • The model effectively reduces mean-square error and increases maximum stable gain.
  • Application to dual-microphone hearing aids revealed intricate path relationships in complex acoustic environments, limiting immediate benefits.

Conclusions:

  • The reflection-based model provides a more accurate and efficient approach to characterizing dynamic feedback paths in hearing aids.
  • While promising, the complexity of acoustic environments in dual-microphone systems requires further investigation for effective feedback path modeling.
  • Future research should focus on advanced techniques to exploit inter-microphone feedback path relationships in challenging scenarios.