Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Concept

Nyquist rate

Applied sciences
Information engineering
Signal processing
Sampling theory

About
Privacy
Disclaimer

Graph Chatbot

Related publications (26)

Page 2 of 2

A 10b SAR ADC with Widely Scalable Sampling Rate and AGC Amplifier Front-End

Yusuf Leblebici, Seyed Armin Tajalli, Firat Çelik, Ayça Akkaya

This paper presents a low power successive approximation register (SAR) ADC and its front-end automatic gain control (AGC) amplifier designed in 65nm CMOS technology. Digitally controlled variable gain amplifier (VGA) in AGC loop is used to maximize the dy ...

IEEE2018

Sampling at unknown locations: Uniqueness and reconstruction under constraints

Martin Vetterli, Adam James Scholefield, Benjamin Bejar Haro, Golnooshsadat Elhami, Michalina Wanda Pacholska

Traditional sampling results assume that the sample locations are known. Motivated by simultaneous localization and mapping (SLAM) and structure from motion (SfM), we investigate sampling at unknown locations. Without further constraints, the problem is of ...

2018

Learning-Based Hardware Design for Data Acquisition Systems

Cosimo Aprile

This multidisciplinary research work aims to investigate the optimized information extraction from signals or data volumes and to develop tailored hardware implementations that trade-off the complexity of data acquisition with that of data processing, conc ...

EPFL2018

Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy

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, i.e., independent of the graph structure, and its performa ...

Elsevier2018

Compressive Multiplexing of Ultrasound Signals

Jean-Philippe Thiran, Yves Wiaux, Marcel Arditi, Adrien Georges Jean Besson, Dimitris Perdios

High-quality 3D ultrasound (US) imaging requires dense matrix-array probes with thousands of elements and necessitates an unrealistic number of coaxial cables to connect such probes to back-end systems. To address this issue, many techniques have been deve ...

IEEE2018

A modular low-complexity ECG delineation algorithm for real-time embedded systems

David Atienza Alonso, Francisco Javier Rincon Vallejos

This work presents a new modular and lowcomplexity algorithm for the delineation of the different ECG waves (QRS, P and T peaks, onsets and end). Involving a reduced number of operations per second and having a small memory footprint, this algorithm is int ...

2018