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Systematic analysis of wavelet denoising methods for neural signal processing

Publications associées (68)

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Guest Editorial: Wavelets in Medical Imaging

Michaël Unser

I. Introduction Wavelets are the result of collective efforts that recognized common threads between ideas and concepts that had been independently developed and investigated by distinct research communities. They provide a unifying framework for decompos ...

2003

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

Multidimensional, Multistage Wavelet Footprints: A New Tool for Image Segmentation and Feature Extraction in Medical Ultrasound

Michaël Unser, Michael Sühling, Muthuvel Arigovindan

We present a new wavelet-based strategy for autonomous feature extraction and segmentation of cardiac structures in dynamic ultrasound images. Image sequences subjected to a multidimensional (2D plus time) wavelet transform yield a large number of individu ...

SPIE2003

Entropy-based Multi-stream Combination

Hervé Bourlard, Hemant Misra, Vivek Tyagi

Full-combination multi-band approach has been proposed in the literature and performs well for band-limited noise. But the approach fails to deliver in case of wide-band noise. To overcome this, multi-stream approaches are proposed in literature with varyi ...

IDIAP2002

Confusion matrix based posterior probabilities correction

Hemant Misra

An MLP classifier outputs a posterior probability for each class. With noisy data classification becomes less certain and the entropy of the posteriors distribution tends to increase, therefore providing a measure of classification confidence. However, at ...

IDIAP2002

Correlation properties of binary sequences generated by the logistic map-application to DS-CDMA

In this paper, we will show that a simple one dimension non-linear map allows generating symbolic sequences that have better statistical properties then classical pseudo random ones. Using performance criterion that is suitable for CDMA application, the pe ...

2002

Wavelet de-noising for highly noisy source separation

Kamiar Aminian, Philippe Robert, Anisoara Ionescu, Bijan Najafi

The aim of this paper is to demonstrate that wavelet denoising processing is extremely attractive for efficient source separation of strong noisy mixtures. Systematic numerical simulations using source separation algorithms after wavelet de-noising are use ...

2002

Microphone Array Post-filter based on Noise Field Coherence

Hervé Bourlard

IDIAP2001

Wavelet thresholding for multiple noisy images

Martin Vetterli

This correspondence addresses the recovery of an image from its multiple noisy copies. The standard method is to compute the weighted average of these copies. Since the wavelet thresholding technique has been shown to effectively denoise a single noisy cop ...

2000

Adaptive wavelet thresholding for image denoising and compression

Martin Vetterli

The first part of this paper proposes an adaptive, data-driven threshold for image denoising via wavelet soft-thresh- olding. The threshold is derived in a Bayesian framework, and the prior used on the wavelet coefficients is the generalized Gaussian distr ...

2000