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
Low-Complexity Algorithms for Echo Cancellation in Audio Conferencing Systems
Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Ever since the birth of the telephony system, the problem with echoes, arising from impedance mismatch in 2/4-wire hybrids, or acoustic echoes where a loudspeaker signal is picked up by a closely located microphone, has been ever present. The removal of these echoes is crucial in order to achieve an acceptable audio quality for conversation. Today, the perhaps most common way for echo removal is through cancellation, where an adaptive filter is used to produce an estimated replica of the echo which is then subtracted from the echo-infested signal. Echo cancellation in practice requires extensive control of the filter adaptation process in order to obtain as rapid convergence as possible while also achieving robustness towards disturbances. Moreover, despite the rapid advancement in the computational capabilities of modern digital signal processors there is a constant demand for low-complexity solutions that can be implemented using low power and low cost hardware. This thesis presents low-complexity solutions for echo cancellation related to both the actual filter adaptation process itself as well as for controlling the adaptation process in order to obtain a robust system. Extensive simulations and evaluations using real world recorded signals are used to demonstrate the performance of the proposed solutions.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Institute of Technology , 2012. , 156 p.
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 13
Keyword [en]
Acoustic echo cancellation, Adaptive filtering, Two-path, Double-talk detection
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-00541Local ID: oai:bth.se:forskinfo5D1B5BDF129D2272C1257A94004543F6ISBN: 978-91-7295-242-3 (print)OAI: oai:DiVA.org:bth-00541DiVA: diva2:834801
Available from: 2012-11-08 Created: 2012-10-11 Last updated: 2017-03-07Bibliographically approved

Open Access in DiVA

fulltext(3201 kB)147 downloads
File information
File name FULLTEXT01.pdfFile size 3201 kBChecksum SHA-512
4411c72df8b3ad52c4f071de4b9f658f221871f54ffe4d3278a81df80e060cb083ffbea1576057648c878e5eaccc0bed2afd9072819b483271c8ee65a58c8759
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Schüldt, Christian
By organisation
Department of Electrical Engineering
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 147 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 84 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