
Algebraic Coding
First French-Soviet Workshop, Paris, July 22-24, 1991. Proceedings
Springer (Publisher)
Published on 12. February 1992
Book
Paperback/Softback
XI, 161 pages
978-3-540-55130-0 (ISBN)
Description
This volume presents the proceedings of the first
French-Soviet workshop on algebraic coding, held in Paris in
July 1991. The idea for the workshop, born in Leningrad (now
St. Petersburg) in 1990, was to bring together some of the
best Soviet coding theorists. Scientists from France,
Finland, Germany, Israel, Italy, Spain, and the United
States also attended.
The papers in the volume fall rather naturally into four
categories:
- Applications of exponential sums
- Covering radius
- Constructions
-Decoding.
More details
Series
Edition
1992 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XI, 161 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
271 gr
ISBN-13
978-3-540-55130-0 (9783540551300)
DOI
10.1007/BFb0034333
Schweitzer Classification
Content
On the correlation of sequences.- On Gaussian sums for finite fields and elliptic curves.- Exponential sums and constrained error-correcting codes.- Constructions of codes with covering radius 2.- On perfect weighted coverings with small radius.- An extremal problem related to the covering radius of binary codes.- Bounds on covering radius of dual product codes.- Remarks on greedy codes.- On nonbinary codes with fixed distance.- Saddle point techniques in asymptotic coding theory.- Non-binary low rate convolutional codes with almost optimum weight spectrum.- Position recovery on a circle based on coding theory.- The lower bound for cardinality of codes correcting errors and defects.- Soft decoding for block codes obtained from convolutional codes.- Partial ordering of error patterns for maximum likelihood soft decoding.- A fast matrix decoding algorithm for rank-error-correcting codes.- A fast search for the maximum element of the fourier spectrum.- Coding theorem for discrete memoryless channels with given decision rule.- Decoding for multiple-access channels.