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The Time-Invariant Multidimensional Gaussian Sequential Rate-Distortion Problem Revisited

Optimization and Control 2017-11-28 v1 Information Theory math.IT

Abstract

We revisit the sequential rate-distortion (SRD) trade-off problem for vector-valued Gauss-Markov sources with mean-squared error distortion constraints. We show via a counterexample that the dynamic reverse water-filling algorithm suggested by [1, eq. (15)] is not applicable to this problem, and consequently the closed form expression of the asymptotic SRD function derived in [1, eq. (17)] is not correct in general. Nevertheless, we show that the multidimensional Gaussian SRD function is semidefinite representable and thus it is readily computable.

Keywords

Cite

@article{arxiv.1711.09853,
  title  = {The Time-Invariant Multidimensional Gaussian Sequential Rate-Distortion Problem Revisited},
  author = {Photios A. Stavrou and Takashi Tanaka and Sekhar Tatikonda},
  journal= {arXiv preprint arXiv:1711.09853},
  year   = {2017}
}

Comments

7 pages, 2 figures

R2 v1 2026-06-22T22:58:17.890Z