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

Bistability, Oscillations, and Bidirectional Motion of Ensemble of Hydrodynamically Coupled Molecular Motors

We analyze the collective behavior of hydrodynamically coupled molecular motors. We show that the local fluxes induced by motor displacement can induce the experimentally observed bidirectional motion of cargoes and vesicles. By means of a mean-field appro ...

Amer Physical Soc2017

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

Patch-wise denoising of phase fringe patterns based on matrix enhancement

Pramod Rastogi, Rishikesh Dilip Kulkarni

We propose a new approach for the denoising of a phase fringe pattern recorded in an optical interferometric setup. The phase fringe pattern which is generally corrupted by high amount of speckle noise is first converted into an exponential phase field. Th ...

2016

Demonstration of optical multicasting using Kerr frequency comb lines

Tobias Kippenberg, Maxim Karpov, Martin Hubert Peter Pfeiffer, Arne Kordts, Yan Yan, Zhe Zhao, Long Li, Lin Zhang, Amirhossein Mohajerin Ariaei

We experimentally demonstrate optical multicasting using Kerr frequency combs generated from a Si3N4 microresonator. We obtain Kerr combs in two states with different noise properties by varying the pump wavelength in the resonator and investigate the effe ...

Optical Society of America2016

Fringe filtering technique based on local signal reconstruction using noise subspace inflation

Pramod Rastogi, Rishikesh Dilip Kulkarni

A noise filtering technique is proposed to filter the fringe pattern recorded in the optical measurement set-up. A single fringe pattern carrying the information on the measurand is treated as a data matrix which can either be complex or real valued. In th ...

2016

Nonuniformity Analysis of a 65-kpixel CMOS SPAD Imager

Edoardo Charbon, Claudio Bruschini, Ivan Michel Antolovic, Samuel Burri

While CMOS single-photon avalanche diode (SPAD) technology has steadily advanced, improving noise, timing resolution, and sensitivity, spatial resolution has been increasing as well. The increase in the number of pixels has made a comprehensive analysis of ...

IEEE-Inst Electrical Electronics Engineers Inc2016

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

Computing the Impact of White and Flicker Noise in Continuous-Time Integrator-Based ADCs

Maher Kayal, Adil Koukab, Paul Stanislas Gosselin

From first-order incremental Sigma Delta converters to controlled-oscillator-based converters, many ADC architectures are based on the continuous-time integration of the input signal. However, the accuracy of such converters cannot be properly estimated wi ...

Ieee2016

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Fabio Nobile, Giovanni Migliorati

We study the accuracy of the discrete least-squares approximation on a finite-dimensional space of a real-valued target function from noisy pointwise evaluations at independent random points distributed according to a given sampling probability measure. Th ...

2015

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Fabio Nobile, Giovanni Migliorati

We study the accuracy of the discrete least-squares approximation on a finite dimensional space of a real-valued target function from noisy pointwise evaluations at independent random points distributed according to a given sampling probability measure. Th ...

MATHICSE2015

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

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Bistability, Oscillations, and Bidirectional Motion of Ensemble of Hydrodynamically Coupled Molecular Motors

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Patch-wise denoising of phase fringe patterns based on matrix enhancement

Demonstration of optical multicasting using Kerr frequency comb lines

Fringe filtering technique based on local signal reconstruction using noise subspace inflation

Nonuniformity Analysis of a 65-kpixel CMOS SPAD Imager

CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

Computing the Impact of White and Flicker Noise in Continuous-Time Integrator-Based ADCs

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Bistability, Oscillations, and Bidirectional Motion of Ensemble of Hydrodynamically Coupled Molecular Motors

Patch-wise denoising of phase fringe patterns based on matrix enhancement

Demonstration of optical multicasting using Kerr frequency comb lines

Computing the Impact of White and Flicker Noise in Continuous-Time Integrator-Based ADCs

Fringe filtering technique based on local signal reconstruction using noise subspace inflation

Nonuniformity Analysis of a 65-kpixel CMOS SPAD Imager

CORRELATED MULTIPLE SAMPLING CMOS IMAGE SENSOR

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points