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

机译:重新定位的时间不变的多维高斯序列率失真问题

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We revisit the sequential rate-distortion (SRD) tradeoff problem for vector-valued Gauss-Markov sources with mean-squared error distortion constraints. Our study is partly motivated by the question recently raised in the paper "Rate-cost tradeoffs in control" (in Proc. 54th Annu. Allerton Conf. Commun., Control, Comput., 2016, pp. 1157-1164) regarding the correctness of its solution algorithm known in the literature. We show via a counterexample that the dynamic reverse water-filling algorithm suggested by (15) of the paper "Stochastic linear control over a communication channel" (IEEE Trans. Autom. Control, vol. 49, pp. 1549-1561, 2004) is not applicable to this problem, and consequently, the closed-form expression of the asymptotic SRD function derived in (17) of the paper "Stochastic linear control over a communication channel" (IEEE Trans. Autom. Control, vol. 49, pp. 1549-1561, 2004) is not correct in general. Nevertheless, we show that the multidimensional Gaussian SRD function is semidefinite representable, and thus, it is readily computable.
机译:我们重新审视矢量值高斯-Markov源的顺序率 - 失真(SRD)权衡问题,具有平均平方误差失真约束。我们的研究部分受到最近提出的问题“控制中的速率 - 成本权衡”(在Proc中的速度。第54号Annu。Allerton Conf。Communce。,控制,计算。,2016,PP 1157-1164)关于正确性其在文献中已知的解决方案算法。我们通过对纸张“通过通信通道的随机线性控制的动态反向水填充算法(IEEE Trans”(IEEE Trans)来展示。(IEEE Trans。自动化。控制,Vol.49,PP。1549-1561,2004)不适用于这个问题,因此,截面表达的渐近SRD函数的闭合形式表达导出的纸张“通过通信通道上的随机线性控制”(IEEE Trans。自动化。控制,Vol.49,PP 。1549-1561,2004)一般不正确。尽管如此,我们表明,多维高斯SRD函数是Semidefinite代表性,因此,它易于计算。

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