Publications related to Sampling innovations

Audio inpainting with similarity graphs

In this contribution, we present a method to compensate for long duration data gaps in audio signals, in particular music. To achieve this task, a similarity graph is constructed, based on a short-time Fourier analysis of reliable signal segments, e.g. the ...

2016

Influence of loading history on mechanical properties of biomaterials

Tom Charles Maurice Walet

It is known that the mechanical response to load or displacement of a biological tissue can highly vary from one cycle to the next. Therefore, in order to establish a reference state for repeating data measurements, tissues are subjected to a preliminary s ...

2016

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

Serge Vaudenay, Pouyan Sepehrdad, Petr Susil

The best way of selecting samples in algebraic attacks against block ciphers is not well explored and understood. We introduce a simple strategy for selecting the plaintexts and demonstrate its strength by breaking reduced-round KATAN, LBLOCK and SIMON. Fo ...

Springer Verlag2016

Riemannian Optimization For High-Dimensional Tensor Completion

Michael Maximilian Steinlechner

Tensor completion aims to reconstruct a high-dimensional data set where the vast majority of entries is missing. The assumption of low-rank structure in the underlying original data allows us to cast the completion problem into an optimization problem rest ...

Siam Publications2016

Shapes from pixels

Martin Vetterli, Arash Amini, Loïc Arnaud Baboulaz, Mitra Fatemi

Continuous-domain visual signals are usually captured as discrete (digital) images. This operation is not invertible in general, in the sense that the continuous-domain signal cannot be exactly reconstructed based on the discrete image, unless it satisfies ...

Institute of Electrical and Electronics Engineers2016

Learning Data Triage: Linear Decoding Works for Compressive MRI

Volkan Cevher, Yen-Huan Li

The standard approach to compressive sampling considers recovering an unknown deterministic signal with certain known structure, and designing the sub-sampling pattern and recovery algorithm based on the known structure. This approach requires looking for ...

Ieee2016

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles

Alcherio Martinoli, Jorge Miguel Dias Almeida Rodrigues Soares, António Pedro Rodrigues de Aguiar

Robotic chemical plume tracing is a growing area of research, with envisioned real-world applications including pollution tracking, search and rescue, and ecosystem identification. However, following a chemical signal in the water is not an easy task due t ...

IEEE2016

Generalized Poisson Summation Formula for Tempered Distributions

Michaël Unser, Quy Ha Nguyen

The Poisson summation formula (PSF), which relates the sampling of an analog signal with the periodization of its Fourier transform, plays a key role in the classical sampling theory. In its current forms, the formula is only applicable to a limited class ...

IEEE2015

Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

Sub-Nyquist artifacts and sampling moiré effects, Part 2: Spectral-domain analysis

Isaac Amidror

Sampling moiré effects occur due to aliasing (foldover) when a continuous periodic signal g(x) is sampled using a sampling frequency that does not respect the Nyquist condition. However, visible beating artifacts may also occur when g(x) is sampled using s ...

2015

Sampling innovations

Graph Chatbot

Chat with Graph Search

Audio inpainting with similarity graphs

Influence of loading history on mechanical properties of biomaterials

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

Riemannian Optimization For High-Dimensional Tensor Completion

Shapes from pixels

Learning Data Triage: Linear Decoding Works for Compressive MRI

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles

Generalized Poisson Summation Formula for Tempered Distributions

Random sampling of bandlimited signals on graphs

Sub-Nyquist artifacts and sampling moiré effects, Part 2: Spectral-domain analysis

Shapes from pixels

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles

Audio inpainting with similarity graphs

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

Riemannian Optimization For High-Dimensional Tensor Completion

Generalized Poisson Summation Formula for Tempered Distributions

Learning Data Triage: Linear Decoding Works for Compressive MRI

Sub-Nyquist artifacts and sampling moiré effects, Part 2: Spectral-domain analysis

Random sampling of bandlimited signals on graphs

Influence of loading history on mechanical properties of biomaterials