DocumentCode :
2972707
Title :
Noise robust AM_FM demodulation using least- squares truncated power series approximation
Author :
Goh, Wooi-Boon
Author_Institution :
Nanyang Technol. Univ., Singapore
fYear :
2007
fDate :
10-13 Dec. 2007
Firstpage :
1
Lastpage :
5
Abstract :
This paper describes a parametric approach for demodulating multicomponent AM-FM sinusoidal signals. The parametric model consist of several truncated power series whose coefficients are estimated using linear least-square minimisation cast within an iterative parameter-substitution framework. It is shown that the proposed technique for AM-FM estimation is relatively robust to background noise compared to other techniques such as the smoothed energy operator separation algorithm and the Hilbert transform method.
Keywords :
amplitude modulation; demodulation; frequency modulation; iterative methods; least squares approximations; minimisation; series (mathematics); signal processing; iterative parameter-substitution framework; least-squares truncated power series approximation; linear least-square minimisation; multicomponent AM-FM sinusoidal signal demodulation; Amplitude estimation; Band pass filters; Chebyshev approximation; Demodulation; Frequency estimation; Gabor filters; Noise robustness; Parametric statistics; Signal analysis; Speech analysis; AM/FM demodulation; signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications & Signal Processing, 2007 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0982-2
Electronic_ISBN :
978-1-4244-0983-9
Type :
conf
DOI :
10.1109/ICICS.2007.4449632
Filename :
4449632
Link To Document :
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