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[117] D. Rousseau, G. V. Anand et F. Chapeau-Blondeau : Noise-Enhanced Nonlinear Detector to Improve Signal Detection in Non-Gaussian Noise. Signal Processing, 86:3456–3465, 2006. [118] D. Rousseau, G. V. Anand et F. Chapeau-Blondeau : Nonlinear estimation from quantized signals: Quantizer optimization and stochastic resonance. In Proceedings 3rd International Symposium on Physics in Signal and Image Processing, pages 89–92, Grenoble, France, 28–31 Jan. 2003. [119] D. Rousseau, G.V. Anand et F. Chapeau-Blondeau : Overview of useful-noise effects in static nonlinear systems. In Stochastic Resonance, 1998SR2008, ten years of continuous growth, Perugia, Italie, août 2008. [120] D. Rousseau et F. Chapeau-Blondeau : Various forms of improvement by noise in nonlinear system. In Proceedings Complex Systems Intelligence and Modern Technology Application, Cherbourg, France, 19–22 Sept. 2004. [121] D. Rousseau et F. Chapeau-Blondeau : Résonance stochastique et performance améliorée par le bruit pour un estimateur optimal. In Proceedings 19è Colloque GRETSI sur le Traitement du Signal et des Images, pages 50–54 vol 3, Paris, France, 2003. [122] D. Rousseau et F. Chapeau-Blondeau : Neuronal signal transduction aided by noise at threshold and saturation. Neural Processing Letters, 20:71–83, 2004. [123] D. Rousseau et F. Chapeau-Blondeau : Stochastic resonance and improvement by noise in optimal detection strategies. Digital Signal Processing, 15:19–32, 2004. [124] D. Rousseau et F. Chapeau-Blondeau : Suprathreshold stochastic resonance and signal-to-noise ratio improvement in arrays of comparators. Physics Letters A, 321:280– 290, 2004. [125] D. Rousseau et F. Chapeau-Blondeau : Amélioration par le bruit de la dynamique de capteurs à saturation. In 20e Colloque GRETSI sur le Traitement du Signal et des Images, pages 595–598, Louvain-la-Neuve, Belgique, septembre 2005. [126] D. Rousseau et F. Chapeau-Blondeau : Noise-improved detection via suprathreshold stochastic resonance in arrays of quantizers. Signal Processing, 85:571–580, 2005. [127] D. Rousseau et F. Chapeau-Blondeau : Stochastic resonance and improvement by noise in optimal detection strategies. Digital Signal Processing, 15:19–32, 2005. [128] D. Rousseau et F. Chapeau-Blondeau : Noise-improved Bayesian estimation with arrays of one-bit quantizers. IEEE Transactions on Instrumentation and Measurement, 56:2658–2662, 2007. [129] D. Rousseau, A. Delahaies et F. Chapeau-Blondeau : Structural similarity measure to assess improvement by noise in nonlinear image transmission. IEEE Signal Processing Letters, vol. 17:36–39, 2010. [130] D. Rousseau, F. Duan et F. Chapeau-Blondeau : Suprathreshold stochastic resonance and noise-enhanced Fisher information in arrays of threshold devices. Physical Review E, 68:031107,1–10, 2003. 73/197
[131] D. Rousseau, F. Duan, J. Rojas Varela et F. Chapeau-Blondeau : Evaluation of a nonlinear bistable filter for binary detection. International Journal of Bifurcation and Chaos, 15:667–679, 2005. [132] D. Rousseau, J. Rojas Varela et F. Chapeau-Blondeau : Stochastic resonance for nonlinear sensors with saturation. Physical Review E, 67:021102,1–6, 2003. [133] D. Rousseau et S. Sourisseau : Propositions pour la masterisation. Le BUP, Le Bulletin de l’Union des Professeurs de Physique et de Chimie, vol. 104:225–230, 2010. [134] D. L. Ruderman : Origins of scaling in natural images. Vision Research, 37:3385–3398, 1997. [135] D. L. Ruderman et W. Bialek : Statistics of natural images: Scaling in the woods. Physical Review Letters, 73:814–817, 1994. [136] J. C. Russ : The Image Processing Handbook. CRC Press, Boca Raton, 1995. [137] H. Sasaki, M. Todorokihara, T. Ishida, J. Miyachi, T. Kitamura et R. Aoki : Effect of noise on the contrast detection threshold in visual perception. Neuroscience Letters, 408:94–97, 2006. [138] A. Saucier : Méthodes multifractales pour l’analyse d’images et de signaux,” in Lois d’ Échelle, Fractales et Ondelettes, (P. Abry, P. Gonçalvès, and J. Lévy Véhel, eds.), pp. 165–206. Hermès, Paris, 2002. [139] M. Schroeder : Fractals, Chaos, Power Laws. Freeman, New York, 1999. [140] C. E. Shannon : A mathematical theory of communication. Bell System Technical Journal, 27:379–423, 1948. [141] E. Simonotto, M. Riani, C. Seife, M. Roberts, J. Twitty et F. Moss : Visual perception of stochastic resonance. Physical Review Letters, 78:1186–1189, 1997. [142] T. Stathaki : Image Fusion: Algorithms and Applications. Academic Press, New York, 2008. [143] N. G. Stocks : Suprathreshold stochastic resonance in multilevel threshold systems. Physical Review Letters, 84:2310–2313, 2000. [144] N. G. Stocks : Information transmission in parallel threshold arrays: Suprathreshold stochastic resonance. Physical Review E, 63:041114,1–9, 2001. [145] N. G. Stocks, D. Allingham et R. P. Morse : The application of suprathreshold stochastic resonance to cochlear implant coding. Fluctuation and Noise Letters, 2:L169– L181, 2002. [146] N. G. Stocks et R. Mannella : Generic noise-enhanced coding in neuronal arrays. Physical Review E, 64:030902,1–4, 2001. [147] C. Tessone, C. Mirasso, R. Toral et J.D. Gunton : Diversity-induced resonance. Physical Review Letters, 97:194101, 2006. 74/197
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