Publications related to Analog signal processing

Unlabeled Sensing of Multi-Input FRI Signals

Shannon's sampling theorem for bandlimited signals, formulated in 1949, has become a cornerstone for modern digital communications and signal processing. The importance of sampling and reconstruction of analog signals has led to great advances in the field ...

2022

Large evanescently-induced Brillouin scattering at the surrounding of a nanofibre

Luc Thévenaz, Li Zhang, Flavien Gyger

Brillouin scattering has been widely exploited for advanced photonics functionalities such as microwave photonics, signal processing, sensing, lasing, and more recently in micro- and nano-photonic waveguides. Most of the works have focused on the opto-acou ...

2022

Lippmann Photography: A Signal Processing Perspective

Martin Vetterli, Arnaud Latty, Adam James Scholefield, Gilles Baechler, Michalina Wanda Pacholska

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 ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS2

Aleksandra Radenovic, Andras Kis, Mukesh Kumar Tripathi, Guilherme Migliato Marega, Zhenyu Wang

Machine learning and signal processing on the edge are poised to influence our everyday lives with devices that will learn and infer from data generated by smart sensors and other devices for the Internet of Things. The next leap toward ubiquitous electron ...

2022

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

Erick Jorge Canales Rodriguez

Sentiment analysis is the automated coding of emotions expressed in text. Sentiment analysis and other types of analyses focusing on the automatic coding of textual documents are increasingly popular in psychology and computer science. However, the potenti ...

SPRINGER2022

Engineering of Existing Structures: The Need and Place for Non-destructive Evaluation

Eugen Brühwiler, Numa Joy Bertola, Thomas Schumacher

Structural engineers today are still educated mainly to design new structures. This ignores the fact that structures already exist and need to be maintained. Students are thus often ill-equipped to deal with maintenance and preservation of existing structu ...

2022

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

Mihai Adrian Ionescu, Teodor Rosca

Highly energy-efficient wireless sensor nodes are a prerequisite for a sustainable operation of the Internet of things. Therefore, classical approaches for system design based on digital signal processing are not a viable solution, but system design has to ...

IEEE2022

Generalised Implicit Neural Representations

Pierre Vandergheynst

We consider the problem of learning implicit neural representations (INRs) for signals on non-Euclidean domains. In the Euclidean case, INRs are trained on a discrete sampling of a signal over a regular lattice. Here, we assume that the continuous signal e ...

2022

Graph signal processing tailored for subgraph focus and community structure

Miljan Petrovic

Community structure in graph-modeled data appears in a range of disciplines that comprise network science. Its importance relies on the influence it bears on other properties of graphs such as resilience, or prediction of missing connections. Nevertheless, ...

EPFL2022

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Patrick Thiran, Negar Kiyavash, Saber Salehkaleybar

We study the performance of Stochastic Cubic Regularized Newton (SCRN) on a class of functions satisfying gradient dominance property with

1\le\alpha\le2

which holds in a wide range of applications in machine learning and signal processing. This conditio ...

NeurIPS2022

Analog signal processing

Graph Chatbot

Chat with Graph Search

Unlabeled Sensing of Multi-Input FRI Signals

Large evanescently-induced Brillouin scattering at the surrounding of a nanofibre

Lippmann Photography: A Signal Processing Perspective

Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS2

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

Engineering of Existing Structures: The Need and Place for Non-destructive Evaluation

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

Generalised Implicit Neural Representations

Graph signal processing tailored for subgraph focus and community structure

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS2

Large evanescently-induced Brillouin scattering at the surrounding of a nanofibre

Unlabeled Sensing of Multi-Input FRI Signals

Generalised Implicit Neural Representations

Engineering of Existing Structures: The Need and Place for Non-destructive Evaluation

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

Lippmann Photography: A Signal Processing Perspective

Graph signal processing tailored for subgraph focus and community structure

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

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