Simulation of random processes and rate-distortion theory
暂无分享,去创建一个
[1] John B. Shoven,et al. I , Edinburgh Medical and Surgical Journal.
[2] Robert M. Gray,et al. Source coding theorems without the ergodic assumption , 1974, IEEE Trans. Inf. Theory.
[3] F. Hampel. A General Qualitative Definition of Robustness , 1971 .
[4] I. Csiszár. Information Theory , 1981 .
[5] Sergio Verdú,et al. Channel simulation and coding with side information , 1994, IEEE Trans. Inf. Theory.
[6] I. Vajda. Theory of statistical inference and information , 1989 .
[7] John C. Kieffer. Strong converses in source coding relative to a fidelity criterion , 1991, IEEE Trans. Inf. Theory.
[8] Sergio Verdú,et al. Approximation theory of output statistics , 1993, IEEE Trans. Inf. Theory.
[9] R. Gray,et al. Robustness of Estimators on Stationary Observations , 1979 .
[10] John C. Kieffer. On the optimum average distortion attainable by fixed-rate coding of a nonergodic source , 1975, IEEE Trans. Inf. Theory.
[11] R. Gray,et al. Block coding for discrete stationary d -continuous noisy channels , 1979, IEEE Trans. Inf. Theory.
[12] L. Davisson,et al. The Distortion-Rate Function for Nonergodic Sources , 1978 .
[13] D. A. Edwards. On the existence of probability measures with given marginals , 1978 .
[14] Yu. V. Prokhorov. Convergence of Random Processes and Limit Theorems in Probability Theory , 1956 .
[15] R. Gray,et al. A Generalization of Ornstein's $\bar d$ Distance with Applications to Information Theory , 1975 .
[16] D. Ornstein. An Application of Ergodic Theory to Probability Theory , 1973 .
[17] R. Gray. Entropy and Information Theory , 1990, Springer New York.