Stochastic Models for Sparse and Piecewise-Smooth Signals
Graph Chatbot
Chat with Graph Search
Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
We consider a stochastic differential equation in which the noise is the sum of a white noise, a Poisson noise and a continuous time Markov chain. The probability densities governing the dynamics solve high order partial differential equations and the solu ...
This paper presents general methods for obtaining power spectra of a large class of signals and random fields driven by an underlying point processes, in particular spatial shot noises with random impulse response and arbitrary basic stationary point proce ...
Signal detection is one of the basic problems in statistical communication theory, and has many applications to contemporary technology, whether in engineering, medical science, or the environment. The most difficult problems are those involving random sig ...
This paper addresses the source separation in strong noisy mixtures by wavelet de-noising processing. Experiments include the cases of white/correlated Gaussian and non- Gaussian noise, which correspond to various applications. The performance of BSS/ICA a ...
When adding C2H4 to AcOH over a H2SO4-SiO2 catalyst to give AcOEt, the activity of the solid-bed catalyst depended on the surface of the carrier; best results were obtained with SiO2 with a surface area of 120 m2/g. In a stationary process, the space-time- ...
In the present paper, the problem of selecting priors for continuous-time processes is approached using the MaxEnt paradigm. First, assuming stationarity and Gaussianity, a suitable definition of differential entropy rate is introduced. Second, it is obser ...
This paper addresses the problem of robust exponential filtering for discrete uncertain systems with mixed stochastic and deterministic uncertainties, in addition to unmodelled nonlinearities and measurement and process noises with bounded variances. ...
The variability factor, (i.e., the variance) of the cumulative production, Σ(t), delivered by a line composed of failure prone machines is studied in the fluid modeling approach. In this context, the evolution of Σ(t) is described by a stochastic different ...