Instantaneous frequency estimation using an adaptive short-time fourier transform

Henry K.C. Kwok, Douglas L. Jones

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Instantaneous frequency estimation is important in many applications, including FM demodulation. Time-frequency-based methods have been widely studied for IF estimation, particularly for low SNR, where they prove to be the most effective methods. We propose a new adaptive short-time Fourier transform algorithm, with chirping windows which is tailored for near-optimal time-frequency-based IF estimation. Extensive performance evaluations with both synthetic and real data demonstrate modest (1-2 dB) improvements in the threshold SNR over the best fixed-window STFTs. The computational cost of the new method is about ten times that of a fixed-window STFT.

Original languageEnglish (US)
Title of host publicationConference Record of the 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995
EditorsAvtar Singh
PublisherIEEE Computer Society
Pages543-547
Number of pages5
ISBN (Electronic)0818673702
DOIs
StatePublished - 1995
Event29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995 - Pacific Grove, United States
Duration: Oct 30 1995Nov 1 1995

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume1
ISSN (Print)1058-6393

Conference

Conference29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995
Country/TerritoryUnited States
CityPacific Grove
Period10/30/9511/1/95

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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