Data Compression Conference (DCC'05) On Global Optimality of Gradient Descent Algorithms for Fixed-Rate Scalar Multiple Description Quantizer Design Snowbird, Utah March 29-March 31 ISBN: 0-7695-2309-9
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2005.60
We prove that Trushkin's sufficient conditions for the global optimality of a locally optimal fixed-rate scalar quantizer also ensure the global optimality of a locally optimal fixed-rate multiple description scalar quantizer of convex codecells, with respect to a fixed index assignment. This result also holds for the fixed-rate multiresolution scalar quantizer of convex codecells. As a consequence the well-known log-concave pdf condition can be extended to the multiple description and multiresolution case.
Citation:
Sorina Dumitrescu, Xiaolin Wu, "On Global Optimality of Gradient Descent Algorithms for Fixed-Rate Scalar Multiple Description Quantizer Design," dcc, pp.388-397, Data Compression Conference (DCC'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||