Graph signal sampling under stochastic priors

HIGHLIGHTS

  • who: -Generalized sampling theory from the (UNIVERSITY) have published the article: Graph Signal Sampling Under Stochastic Priors, in the Journal: (JOURNAL)
  • what: - the authors propose a framework for stochastic graph signals. The authors propose a design method for the correction filters to reduce the mean-squared error (MSE) between the original and reconstructed graph signals. The authors show that the graph spectral response of the resulting correction filter parallels that for for WSS signals if is performed in the graph frequency domain. Subsequently, the authors develop a generalized sampling framework to best recover GWSS signals . . .

     

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