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Concept

Undersampling

Publications associées (21)

An Event-Based System for Low-Power ECG QRS Complex Detection

David Atienza Alonso, Tomas Teijeiro Campo, Silvio Zanoli

One of the greatest challenges in the design of modern wearable devices is energy efficiency. While data processing and communication have received a lot of attention from the industry and academia, leading to highly efficient microcontrollers and transmis ...

IEEE2020

R2D2: A Region-Based Recursive Doppler Dealiasing Algorithm for Operational Weather Radar

Alexis Berne, Marco Gabella, Daniel Wolfensberger, Monika Feldmann

Region-based Recursive Doppler Dealiasing (R2D2) is a novel dealiasing algorithm to unfold Doppler velocity fields obtained by operational radar measurements. It specializes in resolving issues when the magnitude of the gate-to-gate velocity shear approach ...

2020

Experimental Generation and Time Multiplexing of Data-Carrying Nyquist Sinc Shaped Channels from a Single Microresonator-based Kerr Frequency Comb

Tobias Kippenberg, Maxim Karpov, Martin Hubert Peter Pfeiffer, Arne Kordts, Yiming Cao, Fatemeh Alishahi

We experimentally achieve optical time multiplexing of multiple Nyquist channels. A single microresonator Kerr comb allows the generation of multiple Nyquist sinc shaped pulse trains. TDM of pulse trains are obtained through wavelength conversion inside a ...

IEEE2019

Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems

David Atienza Alonso, Amir Aminifar, Tomas Teijeiro Campo, Grégoire Casimir Joseph Surrel

In the context of wearable medical systems, resources are scarce while performance requirements are high. Traditional sampling strategies create large amounts of data, which hinders the device's battery lifetime. However, energy savings are possible when r ...

2019

Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications

Sandro Carrara, Simone Aiassa, Danilo Demarchi

The recent advancements in electrochemical measurements are guiding the development of new platforms for in situ point-of-care monitoring of human-metabolite, markers, and drugs. Despite this, the application of voltammetry-based sensing (VBS) techniques i ...

2019

High Speed SAR ADC Architectures in 28nm FDSOI CMOS

Mustafa Kilic

The demand on high speed Analog to Digital Converters (ADCs) has increased considerably the last years. From communications circuit to high speed oscilloscopes, Giga Samples per second (GS/s) ADCs are requested. With the scaling of the CMOS technology, des ...

EPFL2019

DCT Learning-Based Hardware Design for Neural Signal Acquisition Systems

Yusuf Leblebici, Volkan Cevher, Cosimo Aprile, Luca Baldassarre

This work presents an area and power efficient encoding system for wireless implantable devices capable of monitoring the electrical activity of the brain. Such devices are becoming an important tool for understanding, real-time monitoring, and potentially ...

2017

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

Architectural Modeling of a Single-Sideband Wireline Serial Data Transceiver for Multi-Drop I/O

Yusuf Leblebici, Gain Kim

This paper presents a wireline serial data transceiver (TRX) architecture employing a concept of single-sideband (SSB) modulation to transmit data over a multi-drop (MD) electrical link with deep notches. The proposed TRX utilizes channel notch as a filter ...

Ieee2016

Compressed imaging by sparse random convolution

Theo Lasser, Aurélien Bourquard, Antonio Lopez

The theory of compressed sensing (CS) shows that signals can be acquired at sub-Nyquist rates if they are sufficiently sparse or compressible. Since many images bear this property, several acquisition models have been proposed for optical CS. An interestin ...

Optical Society of America2016

Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition

Pierre Vandergheynst, Alexandre Schmid, Mahsa Shoaran, Mahdad Hosseini Kamal

This paper introduces an area- and power-efficient approach for compressive recording of cortical signals used in an implantable system prior to transmission. Recent research on compressive sensing has shown promising results for sub-Nyquist sampling of sp ...

2014

Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?

Michaël Unser, John Paul Ward, Hagay Kirshner

We consider the problem of sampling continuous-time auto-regressive processes on a uniform grid. We investigate whether a given sampled process originates from a single continuous-time model, and address this uniqueness problem by introducing an alternativ ...

IEEE Institute of Electrical and Electronics Engineers2012

Estimation of Sparse MIMO Channels with Common Support

Martin Vetterli, Ali Hormati, Yann Barbotin

We consider the problem of estimating sparse communication channels in the MIMO context. In small to medium bandwidth communications, as in the current standards for OFDM and CDMA communication systems (with bandwidth up to 20 MHz), such channels are indiv ...

2012

Filter Bank Fusion frames

In this paper we characterize and construct novel oversampled filter banks implementing fusion frames. A fusion frame is a sequence of orthogonal projection operators whose sum can be inverted in a numerically stable way. When properly designed, fusion fra ...

Institute of Electrical and Electronics Engineers2011

Low-noise amplifier with sample & hold for high-density stimulation and recording of neural signals

Pierre-André Farine, Steve Tanner, Urs Alexander Müller

In this paper, the design of a low-noise amplifier (LNA) for a 32x32 pixel microelectrode array (MEA) is presented. Its gain and noise amount to 50 dB and 10 μVrms, respectively, at a bandwidth of 66 kHz. The LNA consumes less than 85 μW. The integrated of ...

2011

Sensing and Recovery under Sparsity Constraints : Theory and Applications

Ali Hormati

Popular transforms, like the discrete cosine transform or the wavelet transform, owe their success to the fact that they promote sparsity. These transforms are capable of extracting the structure of a large class of signals and representing them by a few t ...

EPFL2010

Learning Sparse Systems at Sub-Nyquist Rates: A Frequency-Domain Approach

Martin Vetterli, Yue Lu

We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse response is a simple sum of complex exponentials, whose parameters can be efficient ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Ultrasound Tomography with Learned Dictionaries

Pascal Frossard, Martin Vetterli, Ivana Tosic, Ivana Jovanovic

We propose a new method for imaging sound speed in breast tissue from measurements obtained by ultrasound tomography (UST) scan- ners. Given the measurements, our algorithm finds a sparse image representation in an overcomplete dictionary that is adapted t ...

2010

Real-Time GNSS Software Receiver: Challenges, Status and Perspectives

Pierre-André Farine, Cyril Botteron

Challenges and current status of algorithms of code and carrier generation and baseband processing, including single-instruction multiptle-data (SIMD) operations and bit-wise processing. ...

2009

Distributed Spatio-Temporal Sampling of Diffusion Fields from Sparse Instantaneous Sources

Martin Vetterli, Yue Lu

We study the spatio-temporal sampling of a diffusion field driven by K unknown instantaneous source distributions. Exploiting the spatio-temporal correlation offered by the diffusion model, we show that it is possible to compensate for insufficient spatial ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009