Publications associées à Wave field coding in the spacetime frequency domain

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Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Martin Vetterli, Jayakrishnan Unnikrishnan

Consider the task of sampling and reconstructing a bandlimited spatial field in

\Re^2

using moving sensors that take measurements along their path. It is inexpensive to increase the sampling rate along the paths of the sensors but more expensive to incre ...

Institute of Electrical and Electronics Engineers2013

Wave field coding in the spacetime frequency domain

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Sampling based on timing: Time encoding machines on shift-invariant subspaces

Pitfalls in aggregating performance measures in higher education

Sparse regularization for fiber ODF reconstruction: from the suboptimality of $\ell_2$ and $\ell_1$ priors to $\ell_0$

Observation of the cosmic-ray shadow of the Moon with IceCube

ECMA-407: A New 3D audio codec implementation up to NHK 22.2

Metropolis-Hastings sampling of paths

Linear Bayesian Reinforcement Learning

Inferring age mixing processes and travel time distributions from a lysimeter experiment

Assessment of Ecological Importance and Anthropogenic Change of Subaquatic Springs in Ancient Lake Ohrid

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Pitfalls in aggregating performance measures in higher education

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Observation of the cosmic-ray shadow of the Moon with IceCube

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Assessment of Ecological Importance and Anthropogenic Change of Subaquatic Springs in Ancient Lake Ohrid

Sparse regularization for fiber ODF reconstruction: from the suboptimality of $\ell_2$ and $\ell_1$ priors to $\ell_0$

Metropolis-Hastings sampling of paths

ECMA-407: A New 3D audio codec implementation up to NHK 22.2

Inferring age mixing processes and travel time distributions from a lysimeter experiment

Linear Bayesian Reinforcement Learning