Failure of successive refinement for symmetric Gaussian mixtures
J. Chow, Thomas Berger · IEEE Transactions on Information Theory · 1997
We show that information refinement fails for a continuous alphabet source whose input distribution is the symmetric mixture of normal densities with means -/spl mu/ and /spl mu/ and common variance /spl sigma//sup 2/.