| T. Berger and R. W. Yeung. Multiterminal Source Encoding with One Distortion Criterion. IEEE Trans. Inform. Theory, 35(2):228--236, 1989. |
....1 and R 2 , respectively, and needs to reconstruct the sources subject to fidelity criteria D x and D y . The classical multiterminal source coding problem, currently an open problem, is to find the set of admissible rate pairs R(D x ; D y ) f(R 1 ; R 2 )g [2, 4] See Figure 1. Berger and Yeung [3] found the achievable rate region in the special case where fX k g is discrete and its reconstruction is required to be perfect in the usual Shannon sense. Their result consolidates earlier work of Slepian and Wolf [7] Wyner [8] Ahlswede and Korner [1] Wyner and Ziv [10] and Kaspi and Berger ....
....X ThetaV Y Ed y (Y; g(X; V ) 6) Thus, the union in (5) includes all random variables V which satisfy a Markov chain relation X Y V and allow estimation of Y from (X; V ) with distortion D y . If Y is finite, then it is enough to take the union over V s with alphabet size jYj 2; see [3]. Note that the Berger Yeung rate region [3] has the form of (4) without the 2 log 2eD x terms, and with regular entropies rather than differential entropies of X. For stating the forward part of Theorem 1 below, we need to impose a certain condition upon the joint distribution of (X; Y ) ....
[Article contains additional citation context not shown here]
T. Berger and R. Yeung. Multiterminal source encoding with one distortion criterion. IEEE Trans. Information Theory, IT-35:228--236, March 1989.
.... works by Korner and Marton, 96] 98] Berger and Tung [99] 100] Chang [101] Shohara [102] Omura and Housewright [103] Wolfowitz [104] and Sgarro [105] In succeeding decades, further strides have been made on various side information lossy coding problems [153] 154] 128] 155] [129], 130] and [156] Furthermore, challenging new multiterminal rate distortion problems have been tackled with considerable success, including the multiple descriptions problem [145] 150] 146] 149] 151] 152] 157] 132] the successive refinements problem [133] and the CEO problem ....
T. Berger and R. W. Yueng, "Multiterminal source encoding with one distortion criterion," IEEE Trans. Inform. Theory, vol. 35, pp. 228--236, Mar. 1989.
....and decoder and (B) separate encoders and common decoder. say, at levels and , in the reconstruction of the sources. A general solution to this problem in terms of single letter information quantities has not been found. 1 Yet, we do know the solution for some important special cases [2] [4], 11] 16] 27] These partial solutions tell us, for example, that unlike the lossless coding case treated by Slepian and Wolf, in multiterminal lossy source coding there is a cost in rate due to the separation of the encoders; see, e.g. 27] and [28] However, many questions are still open ....
T. Berger and R. Yeung, "Multiterminal source encoding with one distortion criterion," IEEE Trans. Inform. Theory, vol. 35, pp. 228--236, Mar. 1989.
No context found.
T. Berger and R. W. Yeung. Multiterminal Source Encoding with One Distortion Criterion. IEEE Trans. Inform. Theory, 35(2):228--236, 1989.
No context found.
T. Berger and R. W. Yeung. Multiterminal Source Encoding with One Distortion Criterion. IEEE Trans. Inform. Theory, 35(2):228--236, 1989.
No context found.
T. Berger and R. W. Yeung. Multiterminal Source Encoding with One Distortion Criterion. IEEE Trans. Inform. Theory, 35(2):228--236, 1989.
No context found.
T. Berger and R. W. Yeung, "Multiterminal source encoding with one distortion criterion," IEEE Transactions on Information Theory, vol. 35, pp. 228--236, March 1989. 22
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