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Cited by 293

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Improved instantaneous frequency estimation using an adaptive short-time Fourier transform

Kwok, H.K., Jones, D.L.·2000·IEEE Transactions on Signal Processing

Abstract

Instantaneous frequency estimation (IFE) arises in a variety of important applications, including FM demodulation. We present here a new time-frequency representation (TFR)-based approach to IFE based on an adaptive short-time Fourier transform (ASTFT). This TFR leads naturally to a type of short-term ML estimator of the IF. To further improve the performance, we apply a multistate hidden Markov model (HMM)-based post-estimation tracker. The end result is up to a 16-dB reduction in the threshold SNR over the frequency discriminator (FD) and an 8-dB improvement over the phase-locked loop (PLL) for a Rayleigh fading channel.

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Metadata

Authors
Kwok, H. K., & Jones, D. L.
Venue
IEEE Transactions on Signal Processing
Published
2000
Volume
48
Issue
10
Pages
2964-2972
ISSN
1053-587X (ISSN-L)
OpenAlex
W2114492997
Cited by
293
References
1
FWCI
4.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Improved instantaneous frequency estimation using an adaptive short-time Fourier transform. https://app.cochat.ai/papers/10.1109/78.869059
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Kwok, H. K., & Jones, D. L. (2000). Improved instantaneous frequency estimation using an adaptive short-time Fourier transform. IEEE Transactions on Signal Processing. https://doi.org/10.1109/78.869059

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