Reducing Hearing Aid Power Consumption Using Truncated-Matrix Multipliers

Thomas L. Hemminger

Reducing Hearing Aid Power Consumption Using Truncated-Matrix Multipliers

Thomas L. Hemminger * §

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Reducing Hearing Aid Power Consumption Using Truncated-Matrix Multipliers

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Abstract

The traditional platforms for implementing hearing aid algorithms have been application specific integrated circuits (ASIC) and some general purpose DSP chips. One of the most important issues involved in hearing aid design is power consumption, i.e., battery life. This paper introduces an alternative method for implementing hearing aid algorithms by using truncated-matrix multipliers. These designs can offer a significant reduction in power consumption and chip area. However, the approach can often increase computational error but it can be partially compensated for by introducing a method of coefficient shifting of the filter weights. This latter approach significantly reduces the computational error resulting in improved system performance.

References

17 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Thomas Hemminger, Thomas Hemminger. 2013. "Reducing Hearing Aid Power Consumption Using Truncated-Matrix Multipliers". Global Journal of Research in Engineering, Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 13 (GJRE Volume 13 Issue F8).

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GJRE Volume 13 Issue F8

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

coefficient shifting hearing aids integer processing power consumption truncated-matrix multipliers

Classification

GJRE-F Classification FOR Code: 090699

Submission ReceivedDecember 16, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published January 15, 2013

Version of record

v1.2

Issue date

June 24, 2013

Language

English

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Article Matrices

Total Score: 132

Country: United States

Subject: Global Journal of Research in Engineering

Authors: Thomas L. Hemminger, E. George Walters (PhD/Dr. count: 0)

View Count (all-time): 322

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Publish Date: 2013 01, Tue

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Total Views: 1.8K

Total Downloads: 137

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