The Lampertie transform establishes a one to one connection between stationary and self-similar processes. We give a more general connection, in particular between discrete scale invariance (DSI) and cyclostationarity. Some general properties of stationary processes and linear filtering theory, such as linear time invariant systems are reviewed, and their self similar and DSI coun-terparts, such as scale covariant systems are studied. We prove that Lampertie transform maps linear filters to scale covariant systems. We show that any self similar process can be represented as the output of a scale covariant system. Finally we find that the Mellin transform plays the same central role for self-similarity as Fourier transform plays for stationa...
This work is concerned with the analysis of self-similar stochastic pro-cesses, where statistical se...
A classical result, due to Lamperti, establishes a one-to-one correspondence between a class of stri...
We study shift-variance of linear periodically shift-variant (LPSV) systems and non-stationarity of ...
International audienceA definition of stochastic discrete scale invariance (DSI) is proposed and its...
International audienceScale-invariant processes, and hereafter processes with broken versions of thi...
Lamperti transformation is a known means to connect stationary processes andself-similar processes. ...
In physical situations, scale invariance holds only for a lim-ited range of scales. In this paper, o...
The Lamperti transformation is a powerful tool for studying nonstationary self-similar processes via...
A definition of stochastic discrete-time scale invariance Markov(DT-SIM) process is proposed and its...
We introduce a scattering covariance matrix which provides non-Gaussian models of time-series having...
We define a new type of self-similarity for one-parameter families of stochastic processes, which ap...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
This dissertation presents novel models for purely discrete-time self-similar processes and scale- i...
International audienceWe revisit here the notion of discrete scale invariance. Initially defined for...
The purpose of this paper is to study the self-similar properties of discrete-time long memory proce...
This work is concerned with the analysis of self-similar stochastic pro-cesses, where statistical se...
A classical result, due to Lamperti, establishes a one-to-one correspondence between a class of stri...
We study shift-variance of linear periodically shift-variant (LPSV) systems and non-stationarity of ...
International audienceA definition of stochastic discrete scale invariance (DSI) is proposed and its...
International audienceScale-invariant processes, and hereafter processes with broken versions of thi...
Lamperti transformation is a known means to connect stationary processes andself-similar processes. ...
In physical situations, scale invariance holds only for a lim-ited range of scales. In this paper, o...
The Lamperti transformation is a powerful tool for studying nonstationary self-similar processes via...
A definition of stochastic discrete-time scale invariance Markov(DT-SIM) process is proposed and its...
We introduce a scattering covariance matrix which provides non-Gaussian models of time-series having...
We define a new type of self-similarity for one-parameter families of stochastic processes, which ap...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
This dissertation presents novel models for purely discrete-time self-similar processes and scale- i...
International audienceWe revisit here the notion of discrete scale invariance. Initially defined for...
The purpose of this paper is to study the self-similar properties of discrete-time long memory proce...
This work is concerned with the analysis of self-similar stochastic pro-cesses, where statistical se...
A classical result, due to Lamperti, establishes a one-to-one correspondence between a class of stri...
We study shift-variance of linear periodically shift-variant (LPSV) systems and non-stationarity of ...