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
A novel spectral subtraction technique for cognitive radios
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS.
2013 (English)In: 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), IEEE , 2013, 118-121 p.Conference paper, Published paper (Refereed)
Abstract [en]

In the past a lot of work has been done to remove noise from speech. Most of the presented techniques were derived from Boll's spectral subtraction technique. Roughly speaking the spectral subtraction techniques consists of estimating the noise power during the periods when no speech is present and subtracting this estimate of the noise power from the signal when speech is present. This spectral subtraction technique could be a very good in-band de-noising technique for communication signals measured by cognitive radios. However, there is one major drawback: one can never turn off the spectrum so that no communication signals are present. This paper presents an extended version of the spectral subtraction technique which does not require 'speech free' periods, but can determine the noise power from the empty frequency bins in the spectrum. The presented method is based on an autoregressive (AR) model, which is linear in the parameters. Simulation results show that the presented technique is as performing as the original spectral subtraction techniques without the need to turn off the signals. 

Place, publisher, year, edition, pages
IEEE , 2013. 118-121 p.
Series
Conference Record - IEEE Instrumentation and Measurement Technology Conference, ISSN 1091-5281
Keyword [en]
auto-regressive model, cognitive radio, de-noising, spectral subtraction
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-133847DOI: 10.1109/I2MTC.2013.6555393Scopus ID: 2-s2.0-84882256778ISBN: 978-146734622-1 (print)OAI: oai:DiVA.org:kth-133847DiVA: diva2:663524
Conference
2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013; Minneapolis, MN; United States; 6 May 2013 through 9 May 2013
Note

QC 20131112

Available from: 2013-11-12 Created: 2013-11-11 Last updated: 2013-11-12Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Björsell, Niklas
By organisation
Communication Systems, CoS
Communication Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 23 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