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Spectrum Sensing and AM-FM Decomposition through Synchrosqueezing
Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
- 1 Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
- 2 Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
- 3 Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
- 4 Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
- 5 Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
- 6 Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Wireless Engineering and Technology·Volume 04 (2013)·Pages 134–138·Published 10 July 2013·DOI10.4236/wet.2013.43020
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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 ampli tude 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.
KeywordsCognitive RadioSynchrosqueezingAM-FMSpectrum SensingTime-Frequency ReassignmentEmpirical Mode Decomposition
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