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Comparative Study of Three Bayesian Filtering Approaches for Phase Step Estimation in Optical Interferometry

Publications associées (37)

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An Integral Approach to Phase Shifting Interferometry Using a Super-Resolution Frequency Estimation Method

Pramod Rastogi, Abhijit Patil, Rajesh Langoju

The objective of this paper is to describe an integral approach—based on the use of a super-resolution frequency estimation method—to phase shifting interferometry, starting from phase step estimation to phase evaluation at each point on the object surface ...

OSA2004

An efficient algorithm for real-time estimation and prediction of dynamic OD table

Michel Bierlaire, Frank Crittin

The problem of estimating and predicting Origin-Destination (OD) tables is known to be important and difficult. In the specific context of Intelligent Transportation Systems (ITS), the dynamic nature of the problem and the real-time requirements make it ev ...

2004

The Scrambled Net Filter

Thomas Gsponer

The standard Kalman filter is a powerful and widely used tool to perform prediction, filtering and smoothing in the fields of linear Gaussian state-space models. In its standard setting it has a simple recursive form which implies high computational effici ...

2002

The Scrambled Net Filter

Thomas Gsponer

2002

Detection and filtering of short-term (1/f) noise in inertial sensors

Jan Skaloud

Systematic and random errors inherently present in all inertial sensors contribute to the long-term divergence of the navigation solution of an Inertial Navigation System (INS). To keep such long-term divergence under control while taking advantage of thei ...

Cambridge University Press1999

Calcul stochastique appliqué aux problèmes de détection des signaux aléatoires

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 ...

EPFL1999

Tracking of linear time-variant systems

Ali H. Sayed

In this paper we exploit the one-to-one correspondences between the recursive least-squares (RLS) and Kalman variables to formulate extended forms of the RLS algorithm. Two particular forms are considered, one pertaining to a system identification problem ...

1995