Adaptive interference removal based on concentration of the STFT

Douglas J. Nelson, David C. Smith

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


We propose a new method for adaptively removing noise and interference from a signal. In this method unwanted components are removed from the short time Fourier transform (STFT) surface, and the clean signal is estimated by integrating the modified STFT with respect to frequency. Isolation of the signal and interference components is facilitated by a concentration process based on the phase of the STFT differentiated with respect to time. The concentrated STFT is a linear representation, free of cross terms and having the property that signal and interference components are easily recognized because their distributions are more concentrated in frequency. Interference removal may be accomplished by removing unwanted components from the concentrated STFT, and the clean signal may be estimated by integration of the modified concentrated STFT. We demonstrate the advantages of the proposed method over conventional methods.

Original languageEnglish
Pages (from-to)597-606
Number of pages10
JournalDigital Signal Processing: A Review Journal
Issue number5
StatePublished - Sep 2006
Externally publishedYes


  • Adaptive filter
  • Channelized instantaneous frequency
  • Instantaneous frequency
  • Reassignment
  • Short time Fourier transform
  • Signal estimation
  • Spectral subtraction
  • Time-frequency


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