Markov Chain Modeling And Analysis Of Complicated Phenomena In Coupled Chaotic Oscillators
Related publications (61)
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.
In this article we discuss Markovian term structure models in discrete time and with continuous state space. More precisely we are concerned with the structural properties of such models if one has the Markov property for a part of the forward curve. We in ...
We propose a deep study on tissue modelization and classification Techniques on T1-weighted MR images. Three approaches have been taken into account to perform this validation study. Two of them are based on Finite Gaussian Mixture (FGM) model. The first o ...
In this study, chaotic wandering phenomenon observed in simple coupled chaotic circuits is modeled by Markov chains. As coupling parameter increases, the solution of the coupled chaotic circuits starts to wander chaotically over 6 different phase states wh ...
We describe a speechreading system that uses both, shape information from the lip contours and intensity information from the mouth area. Shape information is obtained by tracking and parameterising the inner and outer lip boundary in an image sequence. In ...
The contribution of Lausanne Polytechnic to the development of modern methods of analysis of power networks, in particular to the activities of a group of engineers constituting the `Electric Network Studies Centre', is described ...
In this paper, we discuss and investigate a new method to estimate local emission probabilities in the framework of hidden Markov models (HMM). Each feature vector is considered to be a sequence and is supposed to be modeled by yet another HMM. Therefore, ...
Airflow rates, hence energy consumption, are directly affected by the amount of open area and consequently by the inhabitant behavior with respect to window opening. This report describes stochastic models using Markov chains, and used to generate time ser ...
In this paper, we discuss and investigate a new method to estimate local emission probabilities in the framework of hidden Markov models (HMM). Each feature vector is considered to be a sequence and is supposed to be modeled by yet another HMM. Therefore, ...
Dynamic simulation programes require hourly values of solar radiation and ambient temperature forming large files, which are usually difficult to handle with available personal computers (PC). This report describes stochastic models of these variables whic ...
Dynamic simulation is an accurate but time-consuming way tu calculate energy and thermal comfort performances of passive solar buildings. Simplified methods, originally developed to evercome their disadvantage, unfortunately do not provide the same quantit ...