A hybrid descent method for optimal sigmoid filter design

Kit Yan Chan, Sven Nordholm, Siow Yong Low, Pei Chee Yong, Ka Fai Cedric Yiu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)


In this letter, a hybrid descent method is used to determine a set of filter parameters for a sigmoid filter which attempts to work under various SNR conditions. It overcomes the limitations of the current sigmoid filters that performs effectively only at a single SNR. Results show that significant improvement in terms of better speech qualities can be achieved by the proposed sigmoid filter when working under various SNR conditions.
Original languageEnglish
Article number6728670
Pages (from-to)478-482
Number of pages5
JournalIEEE Signal Processing Letters
Issue number4
Publication statusPublished - 1 Apr 2014


  • Hybrid optimization method
  • noise suppression
  • sigmoid function
  • speech enhancement
  • various SNR conditions

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Applied Mathematics


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