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

Henry K.C. Kwok, Douglas L. Jones

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

Library availability

Discover UIUC Full Text

Cite this

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). Article 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

@inproceedings{4bc92b9f9336420b99eb3d1f1b769d48,

title = "Instantaneous frequency estimation using an adaptive short-time fourier transform",

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.",

author = "Kwok, {Henry K.C.} and Jones, {Douglas L.}",

note = "Funding Information: *This work was supported in part by the Joint Services Electronics Program, contract no. JSEP N00014-90-5-1270. Publisher Copyright: {\textcopyright} 1995 IEEE.; 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995 ; Conference date: 30-10-1995 Through 01-11-1995",

year = "1995",

doi = "10.1109/ACSSC.1995.540607",

language = "English (US)",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

publisher = "IEEE Computer Society",

pages = "543--547",

editor = "Avtar Singh",

booktitle = "Conference Record of the 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995",

}

TY - GEN

T1 - Instantaneous frequency estimation using an adaptive short-time fourier transform

AU - Kwok, Henry K.C.

AU - Jones, Douglas L.

PY - 1995

Y1 - 1995

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=85013593419&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85013593419&partnerID=8YFLogxK

U2 - 10.1109/ACSSC.1995.540607

DO - 10.1109/ACSSC.1995.540607

M3 - Conference contribution

AN - SCOPUS:85013593419

T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers

SP - 543

EP - 547

BT - Conference Record of the 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995

A2 - Singh, Avtar

PB - IEEE Computer Society

T2 - 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995

Y2 - 30 October 1995 through 1 November 1995

ER -

Instantaneous frequency estimation using an adaptive short-time fourier transform

Abstract

Publication series

Conference

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this