Publications related to Block trigonometric transform adaptive filtering

Modified parallel code-phase search for acquisition in presence of sign transition

Pierre-André Farine, Cyril Botteron, Jérôme Leclère

One of the method to have a fast acquisition of GNSS signals is the parallel code-phase search, which uses the fast Fourier transform (FFT) to perform the correlation. A problem with this method is the potential sign transition that can happen between two ...

2013

Low Complexity Spectral Analysis of Heart-Rate-Variability through a Wavelet Based FFT

Andreas Peter Burg, Georgios Karakonstantis, Aviinaash Sankaranarayanan

In this paper, a low complexity system for spectral analysis of heart rate variability (HRV) is presented. The main idea of the proposed approach is the implementation of the Fast-Lomb periodogram that is a ubiquitous tool in spectral analysis, using a wav ...

2012

NoRSE: noise reduction and state evaluator for high-frequency single event traces

Ardemis Anoush Boghossian

Summary: NoRSE was developed to analyze high-frequency datasets collected from multistate, dynamic expts., such as mol. adsorption and desorption onto carbon nanotubes. As technol. improves sampling frequency, these stochastic datasets become increasingly ...

2012

An Efficient Algorithm for Level Set Method Preserving Distance Function

Jean-Philippe Thiran, Xavier Bresson, Dominique Zosso, Virginia Estellers Casas

The level set method is a popular technique for tracking moving interfaces in several disciplines including computer vision and fluid dynamics. However, despite its high flexibility, the original level set method is limited by two important numerical issue ...

Institute of Electrical and Electronics Engineers2012

Optimally Localized Wavelets and Smoothing Kernels

Kunal Narayan Chaudhury

It is well-known that the Gaussian functions and, more generally, their modulations-translations (the Gabor functions) have the unique property of being optimally localized in space and frequency in the sense of Heisenberg's uncertainty principle. In this ...

EPFL2011

Sensing and Recovery under Sparsity Constraints

Ali Hormati

Popular transforms, like the discrete cosine transform or the wavelet transform, owe their success to the fact that they promote sparsity. These transforms are capable of extracting the structure of a large class of signals and representing them by a few t ...

EPFL2010

A Fast Thresholded Landweber Algorithm for Wavelet-Regularized Multidimensional Deconvolution

Michaël Unser, Cédric René Jean Vonesch

We present a fast variational deconvolution algorithm that minimizes a quadratic data term subject to a regularization on the

\ell ^{ 1 }

-norm of the wavelet coefficients of the solution. Previously available methods have essentially consisted in alte ...

IEEE2008

Tracking Atoms with Particles for Audio-visual Source Localization

Pierre Vandergheynst, Andrea Cavallaro, Gianluca Monaci, Emilio Maggio

We present a general framework and an efficient algorithm for tracking relevant video structures. The structures to be tracked are implicitly defined by a Matching Pursuit procedure that extracts and ranks the most important image contours. Based on the ra ...

2007

World-set Decompositions: Expressiveness and Efficient Algorithms

Christoph Koch

Uncertain information is commonplace in real-world data management scenarios. The ability to represent large sets of possible instances (worlds) while supporting efficient storage and processing is an important challenge in this context. The recent formali ...

2007

Tracking Atoms with Particles

Pierre Vandergheynst, Gianluca Monaci, Emilio Maggio

We present a general framework and an efficient algorithm for tracking relevant video structures. The structures to be tracked are implicitly defined by a Matching Pursuit procedure that extracts and ranks the most important image contours. Based on the ra ...

2006

Block trigonometric transform adaptive filtering

Graph Chatbot

Chat with Graph Search

Modified parallel code-phase search for acquisition in presence of sign transition

Low Complexity Spectral Analysis of Heart-Rate-Variability through a Wavelet Based FFT

NoRSE: noise reduction and state evaluator for high-frequency single event traces

An Efficient Algorithm for Level Set Method Preserving Distance Function

Optimally Localized Wavelets and Smoothing Kernels

Sensing and Recovery under Sparsity Constraints

A Fast Thresholded Landweber Algorithm for Wavelet-Regularized Multidimensional Deconvolution

Tracking Atoms with Particles for Audio-visual Source Localization

World-set Decompositions: Expressiveness and Efficient Algorithms

Tracking Atoms with Particles

Sensing and Recovery under Sparsity Constraints

An Efficient Algorithm for Level Set Method Preserving Distance Function

Optimally Localized Wavelets and Smoothing Kernels

A Fast Thresholded Landweber Algorithm for Wavelet-Regularized Multidimensional Deconvolution

Tracking Atoms with Particles

Modified parallel code-phase search for acquisition in presence of sign transition

Low Complexity Spectral Analysis of Heart-Rate-Variability through a Wavelet Based FFT

NoRSE: noise reduction and state evaluator for high-frequency single event traces

World-set Decompositions: Expressiveness and Efficient Algorithms

Tracking Atoms with Particles for Audio-visual Source Localization