lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Performing Active Noise Control and Acoustic Experiments Remotely
Blekinge Institute of Technology.
Blekinge Institute of Technology.
Blekinge Institute of Technology.
Show others and affiliations
2012 (English)In: International Journal of Online Engineering, ISSN 1868-1646, E-ISSN 1861-2121, Vol. 8, no Special Issue, 65-74 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a novel and advanced remotely controlled laboratory for conducting Active Noise Control (ANC), acoustic and Digital Signal Processing (DSP) experiments. The laboratory facility, recently developed by Blekinge Institute of Technology (BTH) Sweden, supports remote learning through internet covering beginners level such as simple experimental measurements to advanced users and even researchers such as algorithm development and their performance evaluation on DSP. The required software development for ANC algorithms and equipment control are carried out anywhere in the world remotely from an internet-connected client PC using a standard web browser. The paper describes in detail how ANC, acoustic and DSP experiments can be performed remotely The necessary steps involved in an ANC experiment such as validity of ANC, forward path estimation and active control applied to a broad band random noise [0-200Hz] in a ventilation duct will be described in detail. The limitations and challenges such as the forward path and nonlinearities pertinent to the remote laboratory setup will be described for the guidance of the user. Based on the acoustic properties of the ventilation duct some of the possible acoustic experiments such as mode shapes analysis and standing waves analysis etc. will also be discussed in the paper.

Place, publisher, year, edition, pages
2012. Vol. 8, no Special Issue, 65-74 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:lnu:diva-61769OAI: oai:DiVA.org:lnu-61769DiVA: diva2:1084783
Available from: 2017-03-27 Created: 2017-03-27 Last updated: 2017-03-28Bibliographically approved

Open Access in DiVA

No full text

Other links

Fulltext

Search in DiVA

By author/editor
Håkansson, Lars
In the same journal
International Journal of Online Engineering
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

Total: 3 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf