International audienceWe revisit here the notion of discrete scale invariance. Initially defined for signal indexed by the positive reals, we present a generalized version of discrete scale invariant signals relying on a renormalization group approach. In this view, the signals are seen as fixed point of a renormalization operator acting on a space of signal. We recall how to show that these fixed point present discrete scale invariance. As an illustration we use the random iterated function system as generators of random processes of the interval that are dicretely scale invariant
International audienceRandom fractal signals obtained as fixed points of Iterated Function Systems (...
International audienceThis book is organized around the notions of scaling phenomena and scale invar...
International audienceScale-invariant processes, and hereafter processes with broken versions of thi...
International audienceWe revisit here the notion of discrete scale invariance. Initially defined for...
International audienceA definition of stochastic discrete scale invariance (DSI) is proposed and its...
International audienceWe study theoretically the physical origin of the proposed <I>discrete</I> sca...
In physical situations, scale invariance holds only for a lim-ited range of scales. In this paper, o...
A definition of stochastic discrete-time scale invariance Markov(DT-SIM) process is proposed and its...
The Lampertie transform establishes a one to one connection between stationary and self-similar proc...
Discretization of continuous stochastic processes is needed to numerically simulate them or to infer...
This thesis considers the interplay between the continuous and discrete properties of random stochas...
Discrete stability extends the classical notion of stability to random elements in discrete spaces b...
We consider a possibility to unify the methods of regularization, such as the renormalization group ...
International audienceSome recent results showed that the renormalization group (RG) can be consider...
Contents 1 Introduction 5 1.1 Imitation and Synchronisation . . . . . . . . . . . . . . . . . . . ...
International audienceRandom fractal signals obtained as fixed points of Iterated Function Systems (...
International audienceThis book is organized around the notions of scaling phenomena and scale invar...
International audienceScale-invariant processes, and hereafter processes with broken versions of thi...
International audienceWe revisit here the notion of discrete scale invariance. Initially defined for...
International audienceA definition of stochastic discrete scale invariance (DSI) is proposed and its...
International audienceWe study theoretically the physical origin of the proposed <I>discrete</I> sca...
In physical situations, scale invariance holds only for a lim-ited range of scales. In this paper, o...
A definition of stochastic discrete-time scale invariance Markov(DT-SIM) process is proposed and its...
The Lampertie transform establishes a one to one connection between stationary and self-similar proc...
Discretization of continuous stochastic processes is needed to numerically simulate them or to infer...
This thesis considers the interplay between the continuous and discrete properties of random stochas...
Discrete stability extends the classical notion of stability to random elements in discrete spaces b...
We consider a possibility to unify the methods of regularization, such as the renormalization group ...
International audienceSome recent results showed that the renormalization group (RG) can be consider...
Contents 1 Introduction 5 1.1 Imitation and Synchronisation . . . . . . . . . . . . . . . . . . . ...
International audienceRandom fractal signals obtained as fixed points of Iterated Function Systems (...
International audienceThis book is organized around the notions of scaling phenomena and scale invar...
International audienceScale-invariant processes, and hereafter processes with broken versions of thi...