Adaptive detection of narrowband signals using frequency-transformation- based variable digital filters

Shunsuke Koshita, Yuki Kumamoto, Masahide Abe, Masayuki Kawamata

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

This paper presents an application of variable infinite impulse response (IIR) digital filters based on the Constantinides frequency transformation to adaptive filtering. We propose a new unified framework for adaptive detection of narrowband signals using variable band-stop IIR digital filters with arbitrary transfer functions. It is also shown that our proposed method includes the all-pass-based adaptive notch filters as a special case. A simulation example demonstrates the utility of our proposed method from the viewpoint of the signal-to- noise ratio (SNR) improvement. This result shows that the Constantinides frequency transformation plays significant roles in not only the filter design, but also the adaptive signal processing.

Original languageEnglish
Pages816-819
Number of pages4
Publication statusPublished - 2011 Dec 1
EventAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011 - Xi'an, China
Duration: 2011 Oct 182011 Oct 21

Other

OtherAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011
CountryChina
CityXi'an
Period11/10/1811/10/21

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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  • Cite this

    Koshita, S., Kumamoto, Y., Abe, M., & Kawamata, M. (2011). Adaptive detection of narrowband signals using frequency-transformation- based variable digital filters. 816-819. Paper presented at Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011, Xi'an, China.