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Modulation classification in unknown dispersive environments

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4 Author(s)
Paris, B.-P. ; Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA ; Orsak, Geoffrey C. ; Hongda Chen ; Warke, N.

The problem of distinguishing reliably between signaling formats in the presence of noise, interference, unknown dispersive channel conditions, as well as timing and frequency mismatches is addressed. Methods based on a combination of blind equalization and universal classification are presented and their performance is assessed through simulations

Published in:

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on  (Volume:5 )

Date of Conference:

21-24 Apr 1997