Publications related to Nyquist rate

Design and Exploration of Low-Power Analog to Information Conversion Based on Compressed Sensing

David Atienza Alonso, Pierre Vandergheynst, Nadia Khaled, Hossein Mamaghanian

The long-standing analog-to-digital conversion paradigm based on Shannon/Nyquist sampling has been challenged lately, mostly in situations such as radar and communication signal processing where signal bandwidth is so large that sampling architectures cons ...

2012

Near-Nyquist optical pulse generation with fiber optical parametric amplification

Camille Sophie Brès, Mohammad Amin Shoaie

A novel method using optical fiber parametric amplification and phase modulation is proposed in order to generate Nyquist pulses. Using parabolic pulses as a pump, we show theoretically that it is possible to generate Nyquist pulses. Furthermore, we show t ...

Optical Society of America2012

Compressive Sampling Strategies for Multichannel Signals

Mohammad Golbabaee

Over the past decade researches in applied mathematics, signal processing and communications have introduced compressive sampling (CS) as an alternative to the Shannon sampling theorem. The two key observations making CS theory widely applicable to numerou ...

EPFL2012

OptiMoS: Optimal Sensing for Mobile Sensors

Karl Aberer, Julien Eberle, Zhixian Yan

Both sensor coverage maximization and energy cost minimization are the fundamental requirements in the design of real-life mobile sensing applications, e.g., (1) deploying environ- mental sensors (like CO2, fine particle measurement) on public transports t ...

2012

On Sampling and Coding for Distributed Acoustic Sensing

Martin Vetterli, Emre Telatar, Robert Konsbruck

The issue of how to efficiently represent the data collected by a network of microphones recording spatio-temporal acoustic wave fields is addressed. Each sensor node in the network samples the sound field, quantizes the samples and transmits the encoded s ...

2012

Electrophysiological imaging of epileptic brain slices reveals pharmacologically confined functional changes

Diego Ghezzi

Microelectrode arrays (MEAs) are employed to study extracellular electrical activity in neuronal tissues. Neverthe- less, commercially available MEAs provide a limited number of recording sites and do not allow a precise identifi- cation of the spatio-temp ...

2012

Methods and apparatus for estimating a sparse channel

Martin Vetterli, Ali Hormati, Yann Barbotin

Embodiments include a method for sending a selected number of pilots (20) to a sparse channel having a channel impulse response limited in time comprising sending the selected number of the pilots (20). The pilots (20) are equally spaced in the frequency d ...

USPTO2011

Sampling Trajectories for Mobile Sensing

Martin Vetterli, Jayakrishnan Unnikrishnan

Classical sampling theory for sampling and reconstructing bandlimited fields in

\Re^d

addresses the problem of sampling on lattice points. We consider a generalization of this problem, in which one samples the field along

1

-dimensional spatial trajecto ...

2011

Diffractionless Fourier Domain Microscopy

Theo Lasser, Rainer Leitgeb, Cédric Blatter, Tilman Schmoll

Several methods have been proposed and realized to increase the lateral resolution in microscopy and ultimately to beat the actual diffraction limit as stated by Abbe. Structured illumination for example enhances the lateral resolution by virtually extendi ...

2011

Random Sampling ADC for Sparse Spectrum Sensing

Andreas Peter Burg

Scanning large bandwidths (spectrum sensing) pushes today’s analog hardware to its limits since periodic sampling at Nyquist rate with sufficient resolution is often prohibitively complex. In this paper, we consider a scenario where the signal to be acquir ...

2011

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Design and Exploration of Low-Power Analog to Information Conversion Based on Compressed Sensing

Near-Nyquist optical pulse generation with fiber optical parametric amplification

Compressive Sampling Strategies for Multichannel Signals

OptiMoS: Optimal Sensing for Mobile Sensors

On Sampling and Coding for Distributed Acoustic Sensing

Electrophysiological imaging of epileptic brain slices reveals pharmacologically confined functional changes

Methods and apparatus for estimating a sparse channel

Sampling Trajectories for Mobile Sensing

Diffractionless Fourier Domain Microscopy

Random Sampling ADC for Sparse Spectrum Sensing

Compressive Sampling Strategies for Multichannel Signals

OptiMoS: Optimal Sensing for Mobile Sensors

On Sampling and Coding for Distributed Acoustic Sensing

Electrophysiological imaging of epileptic brain slices reveals pharmacologically confined functional changes

Methods and apparatus for estimating a sparse channel

Sampling Trajectories for Mobile Sensing

Diffractionless Fourier Domain Microscopy

Random Sampling ADC for Sparse Spectrum Sensing

Design and Exploration of Low-Power Analog to Information Conversion Based on Compressed Sensing

Near-Nyquist optical pulse generation with fiber optical parametric amplification