Publications related to Sampling of communications systems with bandwidth expansion

How does one compute the noise power to simulate real and complex GNSS signals?

Simulation of GNSS signals is very important to test and validate algorithms. With some algorithms, such as acquisition or tracking, we do not need to simulate a realistic constellation with actual ranges, Doppler or navigation data. We can simply simulate ...

2016

Shapes from Pixels

Mitra Fatemi

In today's digital world, sampling is at the heart of any signal acquisition device. Imaging devices are ubiquitous examples that capture two-dimensional visual signals and store them as the pixels of discrete images. The main concern is whether and how th ...

EPFL2016

CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

Assim Boukhayma

A CMOS image sensor including at least one pixel and one circuit arranged to receive, on a first node of the circuit, an analog signal representative of the luminosity level received by the pixel, the circuit being capable of successively acquiring 2n samp ...

2016

Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

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, \ie, independent of the graph structure, and its perform ...

2015

Generalized Poisson Summation Formula for Tempered Distributions

Michaël Unser, Quy Ha Nguyen

The Poisson summation formula (PSF), which relates the sampling of an analog signal with the periodization of its Fourier transform, plays a key role in the classical sampling theory. In its current forms, the formula is only applicable to a limited class ...

IEEE2015

Non-linear Recovery of Sparse Signal Representations with Applications to Temporal and Spatial Localization

Zafer Dogan

Foundations of signal processing are heavily based on Shannon's sampling theorem for acquisition, representation and reconstruction. This theorem states that signals should not contain frequency components higher than the Nyquist rate, which is half of the ...

EPFL2015

Tutorial: Sub-Nyquist artifacts and sampling moiré effects

Isaac Amidror

Sampling moiré effects are well known in signal processing. They occur when a continuous periodic signal g(x) is sampled using a sampling frequency fs that does not respect the Nyquist condition, and the signal frequency f folds-over and gives a new, false ...

The Royal Society Publishing2015

On Minimal Trajectories for Mobile Sampling of Bandlimited Fields

Martin Vetterli, Jayakrishnan Unnikrishnan

We study the design of sampling trajectories for stable sampling and the reconstruction of bandlimited spatial fields using mobile sensors. The spectrum is assumed to be a symmetric convex set. As a performance metric we use the path density of the set of ...

Elsevier2015

Wire EDM Monitoring for Zero-Defect Manufacturing based on Advanced Sensor Signal Processing

Paul Xirouchakis, Roberto Pérez

In the framework of zero-defect manufacturing, an advanced sensor monitoring procedure aimed at detecting the process conditions leading to surface defects in Wire Electrical Discharge Machining (WEDM) is proposed. WEDM experimental tests were carried out ...

Elsevier Science Bv2015

A 5.9mW/Gb/s 7Gb/s/pin 8-Lane Single-Ended RX with Crosstalk Cancellation Scheme using a XCTLE and 56-tap XDFE in 32nm SOI CMOS

Volkan Cevher, Cosimo Aprile, Yusuf Leblebici, Alessandro Cevrero, Lukas Kull, Ilter Ozkaya, Thomas Toifl

This work reports an 8-lane single-ended RX featuring compact and low power far-end crosstalk (FEXT) cancellation circuits. The RX data-path consists of a cross continuous-time linear equalizer (XCTLE) to remove FEXT by nearest aggressors within the channe ...

2015

Sampling of communications systems with bandwidth expansion

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How does one compute the noise power to simulate real and complex GNSS signals?

Shapes from Pixels

CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

Random sampling of bandlimited signals on graphs

Generalized Poisson Summation Formula for Tempered Distributions

Non-linear Recovery of Sparse Signal Representations with Applications to Temporal and Spatial Localization

Tutorial: Sub-Nyquist artifacts and sampling moiré effects

On Minimal Trajectories for Mobile Sampling of Bandlimited Fields

Wire EDM Monitoring for Zero-Defect Manufacturing based on Advanced Sensor Signal Processing

A 5.9mW/Gb/s 7Gb/s/pin 8-Lane Single-Ended RX with Crosstalk Cancellation Scheme using a XCTLE and 56-tap XDFE in 32nm SOI CMOS

Tutorial: Sub-Nyquist artifacts and sampling moiré effects

CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

Generalized Poisson Summation Formula for Tempered Distributions

How does one compute the noise power to simulate real and complex GNSS signals?

Shapes from Pixels

Random sampling of bandlimited signals on graphs

Non-linear Recovery of Sparse Signal Representations with Applications to Temporal and Spatial Localization

On Minimal Trajectories for Mobile Sampling of Bandlimited Fields

Wire EDM Monitoring for Zero-Defect Manufacturing based on Advanced Sensor Signal Processing

A 5.9mW/Gb/s 7Gb/s/pin 8-Lane Single-Ended RX with Crosstalk Cancellation Scheme using a XCTLE and 56-tap XDFE in 32nm SOI CMOS