Publications related to A Unified Formulation of Gaussian Versus Sparse Stochastic Processes-Part II: Discrete-Domain Theory

Detection Under One-Bit Messaging Over Adaptive Networks

This paper studies the operation of multi-agent networks engaged in binary decision tasks, and derives performance expressions and performance operating curves under challenging conditions with some revealing insights. One of the main challenges in the ana ...

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A Physical Model of Nonstationary Blur in Ultrasound Imaging

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While restoration methods have been extensively studied in ultrasound (US) imaging, only few recent works have focused on modeling and understanding the blur from a physical point of view even in simple configurations, such as lossless homogeneous media. D ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

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The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

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Compressed sensing is provided a data-acquisition paradigm for sparse signals. Remarkably, it has been shown that the practical algorithms provide robust recovery from noisy linear measurements acquired at a near optimal sampling rate. In many real-world a ...

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The azimuthal anisotropy Fourier coefficients (vn) in 8.16 TeV p+Pb data are extracted via long-range two-particle correlations as a function of the event multiplicity and compared to corresponding results in pp and PbPb collisions. Using a four-particle c ...

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Study on the cross-correlation of GNSS signals and typical approximations

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Springer Verlag2017

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes-Part II: Discrete-Domain Theory

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Detection Under One-Bit Messaging Over Adaptive Networks

A Physical Model of Nonstationary Blur in Ultrasound Imaging

Is There an Analog of Nesterov Acceleration for MCMC?

Stationary time-vertex signal processing

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Unified Theory for Recovery of Sparse Signals in a General Transform Domain

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Sampling Continuous-time Sparse Signals: A Frequency-domain Perspective

Observation of Correlated Azimuthal Anisotropy Fourier Harmonics in $pp$ and $p+Pb$ Collisions at the LHC

Study on the cross-correlation of GNSS signals and typical approximations

A Physical Model of Nonstationary Blur in Ultrasound Imaging

Detection Under One-Bit Messaging Over Adaptive Networks

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Unified Theory for Recovery of Sparse Signals in a General Transform Domain

Sampling Continuous-time Sparse Signals: A Frequency-domain Perspective

Is There an Analog of Nesterov Acceleration for MCMC?

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Study on the cross-correlation of GNSS signals and typical approximations

Stationary time-vertex signal processing

Observation of Correlated Azimuthal Anisotropy Fourier Harmonics in $pp$ and $p+Pb$ Collisions at the LHC