Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
A digital noise reduction scheme in communication systems for internet of things
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology.
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology.
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology.
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology.
Visa övriga samt affilieringar
Antal upphovsmän: 52016 (Engelska)Ingår i: Journal of Internet Technology, ISSN 1607-9264, E-ISSN 2079-4029, Vol. 17, nr 5, s. 879-887Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Data-driven computing and using data for strategic advantages are exemplified by communication systems, and the speech intelligibility in communication systems is generally interrupted by interfering noise. This interference comes from the environmental noise, so it can reduce them intelligibility by masking the interested signal. An important work in communication systems is to extract speech from noisy speech and inhibiting background noise. The primary purpose of speech noise reduction system is to extract pure speech from speech signal with noise. The focus of this paper is to build a new noise reduction system on the basis of the optimization of digital noise reduction algorithms. According to the program simulation results based on MATLAB, the digital noise reduction system has many improved performances in the low SNR and achieves more than 5dB-15dB on noise reduction. The combined algorithm was tested under different noise conditions, and data display that the optimize performance of algorithm achieve the best. The simulation results demonstrate that it can get nearly three times better than the other two algorithms. The output signal of combined algorithm are very close to the pure speech signal, the performance of restore the voice signal is better than the other two algorithms

Ort, förlag, år, upplaga, sidor
2016. Vol. 17, nr 5, s. 879-887
Nationell ämneskategori
Medieteknik
Forskningsämne
Distribuerade datorsystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-60113DOI: 10.6138/JIT.2016.17.5.20140603ISI: 000385331800004Scopus ID: 2-s2.0-84989895884OAI: oai:DiVA.org:ltu-60113DiVA, id: diva2:1044246
Anmärkning

Validerad; 2016; Nivå 2; 2016-11-02 (andbra)

Tillgänglig från: 2016-11-02 Skapad: 2016-11-02 Senast uppdaterad: 2018-07-10Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Personposter BETA

Vasilakos, Athanasios

Sök vidare i DiVA

Av författaren/redaktören
Vasilakos, Athanasios
Av organisationen
Datavetenskap
I samma tidskrift
Journal of Internet Technology
Medieteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 17 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf