Detection and Demodulation of AM Signals Using Two Dimensional Spectral Surface

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This paper is designed to detect AM signals, evaluate its parameters and consequently provides demodulation procedure using the methods of Short Time Fourier Transform (STFT) and Discrete Fourier Transform (DFT) combined with two Dimensional Spectral Surface (2DSS). The proposed technique is noise robust since the energies of modulated signal and noise located in different position on 2DSS which could be discarded during the analysis. Comparing with the Hilbert Transform the proposed method can extract envelopes of different carriers transmitted in the same channel
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Signal Processing; Amplitude Modulation; AM Demodulation; Two-Dimensional Spectral Surface

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Leon W. Couch. Digital & Analog Communication Systems, 7/E, Prentice Hall, ISBN: 9780131424920.

A. Oppenheim, R. Schafer and W. Padgett. Discrete-Time Signal Processing, Prentice Hall, 2009.

Q. Zhu and A. Alwan. AM-demodualtion of speech spectra and its application to noise robust speech recognition. In Proc. of ICSLP, volume 1, pages 341–344, Beijing, China, October 2000

B. Trajin, M. Chabert, J. Regnier, and J. Faucher, “Hilbert versus concordia transform for three phase machine stator current time-frequency monitoring,” Mechanical systems & signal processing, vol. 23, no. 8,pp. 2648–2657, 2009.

Amirat, Y.; Choqueuse, V.; Benbouzid, M. Condition monitoring of wind turbines based on amplitude demodulation. Energy Conversion Congress and Exposition (ECCE), 2010 IEEE, pp 2417 - 2421 Issue Date: 2010

S. Kia, H. Henao, and G. Capolino, “A high-resolution frequency estimation method for three-phase induction machine fault detection,” IEEE Transactions on Industrial Electronics, vol. 54, no. 4, 2007.

P. Maragos, J. Kaiser, and T. Quartieri, “On amplitude and frequency demodulation using energy operators,” IEEE Trans. Signal Processing, vol. 41, pp. 1532-1550, April 1993.

B. Trajin, M. Chabert, J. Regnier, and J. Faucher, “Hilbert versus Concordia transform for three phase machine stator current timefrequency monitoring,” Mechanical Systems & Signal Processing, vol.23, pp. 2648–2657, 2009.

Y. Amirat, V. Choqueuse and M.E.H. Benbouzid, “Wind turbines condition monitoring and fault diagnosis using generator current amplitude demodulation,” Proceedings of the IEEE ENERGYCON’10, Manama (Bahraïn), pp. 310-315, December 2010.

Kvedalen, E. (2003). Signal processing using the Teager Energy Operator and other nonlinear operators. Master’s thesis, University of Oslo, Norway.

Zhang, G., Li, Y., Huang, Y., A novel HHT and nonlinear teager energy operator based feature for speech emotion recognition, (2012) International Review on Computers and Software (IRECOS), 7 (6), pp. 3360-3364.

Allen J., & Rabiner,L., A unified approach to short-time Fourier analysis and synthesis, Proceedings of the IEEE, vol. 65, no. 11, pp.1558-1564, 1977.

Cohen, L., Time–frequency analysis, Prentice-Hall, Englewood Cliffs, NJ, 1995.

Laaboubi, M., Aassif, E., Latif, R., Maze, G., Moudden, A., Time-frequency spectrogram analysis of acoustic signals backscattered by an air-filled aluminium tube immersed in water, (2010) International Review on Computers and Software (IRECOS), 5 (2), pp. 145-149.


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