Publications associées à Bit Precision Analysis for Compressed Sensing

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Learning-Based Compressive Subsampling

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic, Yen-Huan Li, Luca Baldassarre, Baran Gözcü

The problem of recovering a structured signal

\mathbf{x} \in \mathbb{C}^p

from a set of dimensionality-reduced linear measurements

\mathbf{b} = \mathbf {A}\mathbf {x}

arises in a variety of applications, such as medical imaging, spectroscopy, Fourier o ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Bit Precision Analysis for Compressed Sensing

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Sampling the Multiple Facets of Light

Training DNNs with Hybrid Block Floating Point

Evidence of a structure in (K)over-bar(0)Lambda(+)(c) consistent with a charged Xi(c)(2930)(+), and updated measurement of (B)over-bar(0) -> (K)over-bar(0)Lambda(+)(c) (Lambda)over-bar(c)(-) at Belle

Intonation modelling using a muscle model and perceptually weighted matching pursuit

Structure from sound with incomplete data

A Low-power Carry Cut-Back Approximate Adder with Fixed-point Implementation and Floating-point Precision

JPEG XT: A Compression Standard for HDR and WCG Images [Standards in a Nutshell]

Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices

Learning-Based Compressive Subsampling

Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices

JPEG XT: A Compression Standard for HDR and WCG Images [Standards in a Nutshell]

Intonation modelling using a muscle model and perceptually weighted matching pursuit

Sampling the Multiple Facets of Light

Structure from sound with incomplete data

Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices

A Low-power Carry Cut-Back Approximate Adder with Fixed-point Implementation and Floating-point Precision

Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices

Learning-Based Compressive Subsampling

Evidence of a structure in (K)over-bar(0)Lambda(+)(c) consistent with a charged Xi(c)(2930)(+), and updated measurement of (B)over-bar(0) -> (K)over-bar(0)Lambda(+)(c) (Lambda)over-bar(c)(-) at Belle

Training DNNs with Hybrid Block Floating Point