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Gianfelici, F. Biagetti, G. Crippa and P. Turchetti, “AM-FM Decomposition of Speech Signals: An Asymptotically Exact Approach Based on the Iterated Hilbert Transform,” IEEE Conference Publication, July 2005, pp. 333-338.

has been cited by the following article:

• TITLE: Spectrum Sensing and AM-FM Decomposition through Synchrosqueezing

  AUTHORS: K. Vandhana, P. V. S. Sowmya, P. Roshni, K. Divya, S. Ashwin, K. A. Narayanankutty

  KEYWORDS: Cognitive Radio; Synchrosqueezing; AM-FM; Spectrum Sensing; Time-Frequency Reassignment;Empirical Mode Decomposition

  JOURNAL NAME: Wireless Engineering and Technology, Vol.4 No.3, July 10, 2013

  ABSTRACT: In this paper we have accomplished one of the tasks of cognitive radio i.e. dynamic spectrum sensing by using wavelet based Synchrosqueezing transform [1], a novel technique, which was proposed to analyze a signal in time-frequency plane. The distinctive feature of this transform compared to other techniques is that it enables us to decompose amplitude and frequency modulated signals and allows individual reconstruction of these components. The objective is also to separate the occupied band into amplitude modulated and frequency modulated bands.