Publications related to Correlation Estimation from Compressed Images

Dual Langmuir-probe array for 3D plasma studies in TORPEX

Ambrogio Fasoli, Ivo Furno, Fabio Avino, Rémy Jacquier, Marcelo Baquero Ruiz, Oulfa Chellaï, Fabian Manke

We have designed and installed a new Langmuir-probe (LP) array diagnostic to determine basic three-dimensional (3D) features of plasmas in TORPEX. The diagnostic consists of two identical LP arrays, placed on opposite sides of the apparatus, which provide ...

2016

Structure Tensor Total Variation

Michaël Unser, Stamatios Lefkimmiatis

We introduce a novel generic energy functional that we employ to solve inverse imaging problems within a variational framework. The proposed regularization family, termed as structure tensor total variation (STV), penalizes the eigenvalues of the structure ...

SIAM2015

Adaptive Frequency Tracking for Robust Heart Rate Estimation Using Wrist-Type Photoplethysmographic Signals During Physical Exercise

Jean-Marc Vesin, Sibylle Fallet

In recent years, wearable photoplethysmographic (PPG) biosensors have emerged as promising tools to monitor heart rate (HR) during physical exercise. However, PPG waveforms are easily corrupted by motion artifacts, rendering HR estimation difficult. In thi ...

2015

ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds

Pierre Vandergheynst, Michael Bronstein

Feature descriptors play a crucial role in a wide range of geometry analysis and processing applications, including shape correspondence, retrieval, and segmentation. In this paper, we propose ShapeNet, a generalization of the popular convolutional neural ...

2015

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Volkan Cevher, Jonathan Mark Scarlett, Yen-Huan Li

We consider the model selection consistency or sparsistency of a broad set of

\ell_1

-regularized

M

-estimators for linear and non-linear statistical models in a unified fashion. For this purpose, we propose the local structured smoothness condition (LSS ...

2015

The effective reference frame in perceptual judgments of motion direction

Michael Herzog

The retinotopic projection of stimulus motion depends both on the motion of the stimulus and the movements of the observer. In this study, we aimed to quantify the contributions of endogenous (retinotopic) and exogenous (spatiotopic and motion-based) refer ...

Elsevier2015

Accuracy and Precision of Head Motion Information in Multi-Channel Free Induction Decay Navigators for Magnetic Resonance Imaging

Tobias Kober, Michael Herbst

Free induction decay (FID) navigators were found to qualitatively detect rigid-body head movements, yet it is unknown to what extent they can provide quantitative motion estimates. Here, we acquired FID navigators at different sampling rates and simultaneo ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Evaluation of audio source separation in the context of 3D audio

Lukas Rohr

The emergence and broader availability of 3D audio systems allows for new possibilities in mixing, post-production and playback of audio content. Used in movie post-production for cinemas, as special effect by disk jockeys for example and even for live con ...

EPFL2015

Power-Efficient Joint Compressed Sensing of Multi-Lead ECG Signals

David Atienza Alonso, Pierre Vandergheynst, Giovanni Ansaloni, Hossein Mamaghanian

Compressed Sensing (CS) is a new acquisition- compression paradigm for low-complexity energy-aware sensing and compression. By merging both sampling and compression, CS is very promising to develop practical ultra-low power read- out systems for wireless b ...

IEEE Press2014

Pattern-oriented memory interpolation of sparse historical rainfall records

Anton Schleiss, José Pedro Gamito de Saldanha Calado Matos, Théodora Cohen Liechti

The pattern-oriented memory (POM) is a novel historical rainfall interpolation method that explicitly takes into account the time dimension in order to interpolate areal rainfall maps. The method is based on the idea that rainfall patterns exist and can be ...

Elsevier2014

Correlation Estimation from Compressed Images

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Dual Langmuir-probe array for 3D plasma studies in TORPEX

Structure Tensor Total Variation

Adaptive Frequency Tracking for Robust Heart Rate Estimation Using Wrist-Type Photoplethysmographic Signals During Physical Exercise

ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds

Sparsistency of $\ell_1$-Regularized $M$-Estimators

The effective reference frame in perceptual judgments of motion direction

Accuracy and Precision of Head Motion Information in Multi-Channel Free Induction Decay Navigators for Magnetic Resonance Imaging

Evaluation of audio source separation in the context of 3D audio

Power-Efficient Joint Compressed Sensing of Multi-Lead ECG Signals

Pattern-oriented memory interpolation of sparse historical rainfall records

Evaluation of audio source separation in the context of 3D audio

ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds

Adaptive Frequency Tracking for Robust Heart Rate Estimation Using Wrist-Type Photoplethysmographic Signals During Physical Exercise

Power-Efficient Joint Compressed Sensing of Multi-Lead ECG Signals

Dual Langmuir-probe array for 3D plasma studies in TORPEX

Sparsistency of $\ell_1$-Regularized $M$-Estimators

The effective reference frame in perceptual judgments of motion direction

Pattern-oriented memory interpolation of sparse historical rainfall records

Structure Tensor Total Variation

Accuracy and Precision of Head Motion Information in Multi-Channel Free Induction Decay Navigators for Magnetic Resonance Imaging