Regulated-Element Frost Beamformer for Vehicular Multimedia Sound Enhancement and Noise Reduction Applications
- Submitting institution
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Manchester Metropolitan University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1792
- Type
- D - Journal article
- DOI
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10.1109/ACCESS.2017.2775707
- Title of journal
- IEEE Access
- Article number
- -
- First page
- 27254
- Volume
- 5
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2017
- URL
-
https://ieeexplore.ieee.org/document/8115140
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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C - Smart Infrastructure
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a world-leading experimentally validated adaptive broadband beamformer for real-time vehicular communication applications. A mathematical model and an adaptive algorithm were developed to inform functional and timing simulations for advanced and complex in-vehicle multimedia noise reduction performances. The reported novel work enabled an Innovate UK funding (Ref: KTP011181) to be secured with the Jeff Gosling Hand Controls Ltd [Chris Cooke (chris@jeffgosling.co.uk)] to develop next-generation communication system for adapted vehicles. Moreover, SmOp CleanTech Ltd (Stephen Alabi; stephen.alabi@smopct.com)] has funded a MRes studentship; and Unifi.id (Paul Sheedy; ps@unifi.id)] has funded a product improvement project to exploit the research findings.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -