From Lagrange to Shannon...and Back: Another Look at Sampling

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MRI is a non-invasive medical imaging modality that is sensitive to patient motion, which constitutes a major limitation in most clinical applications. Solutions may arise from the reduction of acquisition times or from motion-correction techniques, either ...

Fourier transforms are an often necessary component in many computational tasks, and can be computed efficiently through the fast Fourier transform (FFT) algorithm. However, many applications involve an underlying continuous signal, and a more natural choi ...

Since the birth of Information Theory, researchers have defined and exploited various information measures, as well as endowed them with operational meanings. Some were born as a "solution to a problem", like Shannon's Entropy and Mutual Information. Other ...

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The goal of this thesis is to study continuous-domain inverse problems for the reconstruction of sparse signals and to develop efficient algorithms to solve such problems computationally. The task is to recover a signal of interest as a continuous function ...

Lippmann (or interferential) photography is the first and only analog photography method that can capture the full color spectrum of a scene in a single take. This technique, invented more than a hundred years ago, records the colors by creating interferen ...

From Lagrange to Shannon...and Back: Another Look at Sampling

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Choreography Controlled (ChoCo) brain MRI artifact generation for labeled motion-corrupted datasets

pyFFS: A Python Library for Fast Fourier Series Computation and Interpolation with GPU Acceleration

A Functional Perspective on Information Measures

Collapse-invariant properties of spaces equipped with signals or directions

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding

Spike-Based Sensing and Communication for Highly Energy-Efficient Sensor Edge Nodes

Text as signal. A tutorial with case studies focusing on social media (Twitter)

Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution

Lippmann Photography: A Signal Processing Perspective