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Fig. 2. Nonlinear array used as pre
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probability of error P er 10 0 10 -
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probability of error (expected as s
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[3] N.H. Lu, B.A. Einstein, Detecti
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Abstract Neurocomputing 71 (2007) 3
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3. Assessing nonlinear transmission
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output SNR 250 200 150 100 50 0 N=3
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precisely the scope of the present
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[4] F. Chapeau-Blondeau, G. Chauvet
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Nonlinear SNR amplification of harm
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P.R. BHAT and D. ROUSSEAU and G. V.
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It is assumed that the signal s is
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Let us de£ne the improvement in pe
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F. CHAPEAU-BLONDEAU and D. ROUSSEAU
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Contents Raising the noise to impro
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Raising the noise to improve perfor
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Raising the noise to improve perfor
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Raising the noise to improve perfor
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Raising the noise to improve perfor
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Raising the noise to improve perfor
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Raising the noise to improve perfor
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S. BLANCHARD, D. ROUSSEAU, D. GINDR
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1984 OPTICS LETTERS / Vol. 32, No.
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F. CHAPEAU-BLONDEAU, D. ROUSSEAU, S
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1288 J. Opt. Soc. Am. A/Vol. 25, No
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1290 J. Opt. Soc. Am. A/Vol. 25, No
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1292 J. Opt. Soc. Am. A/Vol. 25, No
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36 IEEE SIGNAL PROCESSING LETTERS,
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38 IEEE SIGNAL PROCESSING LETTERS,
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A. HISTACE and D. ROUSSEAU. Constru
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noises Z i in (3) are chosen Gaussi
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Author's personal copy Physica A 38
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Author's personal copy F. Chapeau-B
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Author's personal copy F. Chapeau-B
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edundancy Author's personal copy F.
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model description length Author's p
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total description length x 10 4 1.6
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Author's personal copy F. Chapeau-B
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Author's personal copy F. Chapeau-B
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J. CHAUVEAU and D. ROUSSEAU and F.
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2 for natural images, and carry rel
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4 Fig. 2 Random RGB color image I2(
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6 log2[ number of boxes N(a) ] 24 2
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8 Fig. 7 Color histogram in the RGB
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10 log2[ number of boxes N(a) ] 8 7
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12 17. Landgrebe, D.: Hyperspectral
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Numerical simulation of laser Doppl
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esults are meaningful to better app
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A. HUMEAU, B. BUARD, F. CHAPEAU-BLO
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618 A Humeau et al 1. Introduction
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620 A Humeau et al (a) (b) (c) Figu
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622 A Humeau et al (a) (b) (c) Figu
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624 A Humeau et al Figure 5. Averag
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626 A Humeau et al Therefore, the m
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628 A Humeau et al peripheral cardi