Instantaneous frequency estimation using an adaptive short-time fourier transform

Henry K.C. Kwok; Douglas L. Jones

doi:10.1109/ACSSC.1995.540607

Instantaneous frequency estimation using an adaptive short-time fourier transform

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Conference Record of the 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995
Editors	Avtar Singh
Publisher	IEEE Computer Society
Pages	543-547
Number of pages	5
ISBN (Electronic)	0818673702
DOIs	https://doi.org/10.1109/ACSSC.1995.540607
State	Published - 1995
Event	29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995 - Pacific Grove, United States Duration: Oct 30 1995 → Nov 1 1995

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	1
ISSN (Print)	1058-6393

Conference

Conference	29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995
Country/Territory	United States
City	Pacific Grove
Period	10/30/95 → 11/1/95

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Online availability

10.1109/ACSSC.1995.540607

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Kwok, H. K. C., & Jones, D. L. (1995). Instantaneous frequency estimation using an adaptive short-time fourier transform. In A. Singh (Ed.), Conference Record of the 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995 (pp. 543-547). [540607] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/ACSSC.1995.540607

Instantaneous frequency estimation using an adaptive short-time fourier transform. / Kwok, Henry K.C.; Jones, Douglas L.

Conference Record of the 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995. ed. / Avtar Singh. IEEE Computer Society, 1995. p. 543-547 540607 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kwok, HKC & Jones, DL 1995, Instantaneous frequency estimation using an adaptive short-time fourier transform. in A Singh (ed.), Conference Record of the 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995., 540607, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 1, IEEE Computer Society, pp. 543-547, 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995, Pacific Grove, United States, 10/30/95. https://doi.org/10.1109/ACSSC.1995.540607

Kwok HKC, Jones DL. Instantaneous frequency estimation using an adaptive short-time fourier transform. In Singh A, editor, Conference Record of the 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995. IEEE Computer Society. 1995. p. 543-547. 540607. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/ACSSC.1995.540607

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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.",

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AB - 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.

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Instantaneous frequency estimation using an adaptive short-time fourier transform

Abstract

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