Very Good condition. Volume 14. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. Bundled media such as CDs, DVDs, floppy disks or access codes may not be included.

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Detalles bibliogr�ficos

T�tulo

Coding and Quantization: Dimacs/IEEE Workshop, October 19-21, 1992 (Dimacs Series in Discrete Mathematics and Theoretical Computer Science)

Editor

Amer Mathematical Society

Fecha de publicaci�n

1993

Idioma

Ingl�s

ISBN 10

0821866036

ISBN 13

9780821866030

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

Very Good

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Sinopsis

This volume contains the proceedings of the DIMACS/IEEE workshop on coding and quantization. The theme of the workshop was the application of discrete mathematics to reliable data transmission and source compression. These applications will become more significant in the coming years, with the advent of high-capacity cellular networks, personal communications devices, and the 'wireless office'. The articles are written by experts from industry and from academia. Requiring only a background in basic undergraduate mathematics, this book appeals to mathematicians interested in multidimensional Euclidean geometry (especially lattice theory), as well as to engineers interested in bandwidth efficient communication or vector quantization.

Rese�a del editor

This volume contains the proceedings of the DIMACS/IEEE workshop on coding and quantization. The theme of the workshop was the application of discrete mathematics to reliable data transmission and source compression. These applications will become more significant in the coming years, with the advent of high capacity cellular networks, personal communications devices, and the ``wireless office''. The articles are written by experts from industry and from academia. Requiring only a background in basic undergraduate mathematics, this book appeals to mathematicians interested in multidimensional Euclidean geometry (especially lattice theory), as well as to engineers interested in bandwidth efficient communication or vector quantization.

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