Algorithms for estimating instantaneous frequency

Authors:
Jaideva C. Goswami;Albert E. Hoefel
Affiliations:
Schlumberger Technology Corporation, 110 Schlumberger Drive, Sugar Land, TX;Schlumberger Technology Corporation, 110 Schlumberger Drive, Sugar Land, TX
Venue:
Signal Processing
Year:
2004

Citing 1
Cited 2

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A novel method for computing the Hilbert transform with Haar multiresolution approximation

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Abstract

Three algorithms to estimate instantaneous frequency of a frequency-modulated signal is discussed. These algorithms are based on Hilbert transform, Haar wavelet, and generalized pencil of function (GPOF) methods. While GPOF-based frequency detection method appears to be least sensitive to noise, wavelet-based method is easiest to implement. The latter method is also computationally more efficient and can be implemented in real-time. Results for both synthetic and experimental data are shown.