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Direct unwrapped phase estimation in phase shifting interferometry using Levenberg-Marquardt algorithm

Publications associées (47)

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Accurate nonlinear phase step estimation in phase shifting interferometry

Pramod Rastogi, Abhijit Patil, Rajesh Langoju

We propose a new method for the accurate estimation of nonlinear response of the PZT to the applied voltage. The method uses discrete chirp Fourier transform for the coarse estimation followed by a fine search method for the accurate estimation of the phas ...

Elsevier2006

On Fresnelets, interference fringes, and digital holography

Michael Stefan Daniel Liebling

In this thesis, we describe new approaches and methods for reconstructing complex-valued wave fields from digital holograms. We focus on Fresnel holograms recorded in an off-axis geometry, for which operational real-time acquisition setups readily exist. T ...

EPFL2004

Microphone Array Post-filter based on Noise Field Coherence

Hervé Bourlard

This article introduces a novel technique for estimating the signal power spectral density to be used in the transfer function of a microphone array post-filter. The technique is a generalisation of the existing Zelinski post-filter, which uses the auto- a ...

2003

Microphone Array Post-filter based on Noise Field Coherence

Hervé Bourlard

IDIAP2001

Resolution of fluorescence correlation measurements

Horst Vogel

The resoln. limit of fluorescence correlation spectroscopy for two-component solns. is investigated theor. and exptl. The autocorrelation function for two different particles in soln. were computed, statistical noise was added, and the resulting curve was ...

1999

Pixel size limit in holographic memories

Demetri Psaltis, Wei Liu

The bandwidth of holographic recording in LiNbO3 (Fe doped) in the 90 degrees geometry is studied theoretically and experimentally. The wide holographic bandwidth of LiNbO3 makes it possible to record submicrometer pixels and reconstruct them by phase conj ...

1999

Simulation of 1D ARPES Data and Measures to recover the underlying Signal

Nadine Gächter

Fourier deconvolution is a good tool to remove the blurring of images with a very high SNR. However it suffers under severe noise degradation and becomes impracticable at a SNR of 20dB. If the convolution width is very high this happens even earlier. The a ...