Publications associées à On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data

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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

On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data

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Shapes from Pixels

Simultaneous estimation of phase derivative and phase using parallel Kalman filter implementation

Riemannian Optimization For High-Dimensional Tensor Completion

Random sampling of bandlimited signals on graphs

Interpretation of Continuous-Time Autoregressive Processes as Random Exponential Splines

Identification of Rational Transfer Functions from Sampled Data

Development of a low-cost wireless controller for flexible sampling strategies based on real-time flow monitoring

Role of sampling in evaluating classical time autocorrelation functions

Metropolis-Hastings sampling of paths

Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?

Riemannian Optimization For High-Dimensional Tensor Completion

Shapes from Pixels

Simultaneous estimation of phase derivative and phase using parallel Kalman filter implementation

Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?

Identification of Rational Transfer Functions from Sampled Data

Development of a low-cost wireless controller for flexible sampling strategies based on real-time flow monitoring

Random sampling of bandlimited signals on graphs

Metropolis-Hastings sampling of paths

Role of sampling in evaluating classical time autocorrelation functions

Interpretation of Continuous-Time Autoregressive Processes as Random Exponential Splines