Concept

Lack-of-fit sum of squares

Related publications (58)

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Multigrid Image Reconstruction from Arbitrarily Spaced Samples

Michaël Unser, Michael Sühling, Muthuvel Arigovindan

We propose a novel multiresolution-multigrid based signal reconstruction method from arbitrarily spaced samples. The signal is reconstructed on a uniform grid using B-splines basis functions. The computation of spline weights is formulated as a variational ...

IEEE2002

Robust speech recognition based on multi-stream processing

Astrid Hagen

Despite sophisticated present day automatic speech recognition (ASR) techniques, a single recognizer is usually incapable of accounting for the varying conditions in a typical natural environment. Higher robustness to a range of noise cases can potentially ...

EPFL2002

Robust speech recognition based on multi-stream processing

Astrid Hagen

École Polytechnique Fédérale de Lausanne2001

Robust speech recognition based on multi-stream processing

Astrid Hagen

2001

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

Estimating Distribution Functions with Smoothing Splines

Eva Maria Restle

The scope is to smooth the empirical distribution function of a random sample by minimizing a penalized sum of squared errors. The spline, which is the solution to this problem, is studied via the eigenvalue structure of the random matrices ocurring in its ...

1999

Reduction of the MSE in R-times oversampled A/D conversion from O(1/R) to O(1/R^2)

Martin Vetterli

In oversampled analog-to-digital conversion, the usual reconstruction method using lowpass filtering leads to a mean squared error (MSE) inversely proportional to the oversampling ratio R. The authors prove, under certain assumptions and with periodic anal ...

1994

Fundamental relations between the LMS algorithm and the DFT

Martin Vetterli

The digital Fourier transform (DFT) and the adaptive least mean square (LMS) algorithm have existed for some time. This paper establishes a connection between them. The result is the "LMS spectrum analyzer," a new means for the calculation of the DFT. The ...

1987