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Foundations of Quantization for Probability Distributions

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Foundations of Quantization for Probability Distributions Synopsis

Due to the rapidly increasing need for methods of data compression, quantization has become a flourishing field in signal and image processing and information theory. The same techniques are also used in statistics (cluster analysis), pattern recognition, and operations research (optimal location of service centers). The book gives the first mathematically rigorous account of the fundamental theory underlying these applications. The emphasis is on the asymptotics of quantization errors for absolutely continuous and special classes of singular probabilities (surface measures, self-similar measures) presenting some new results for the first time. Written for researchers and graduate students in probability theory the monograph is of potential interest to all people working in the disciplines mentioned above.

About This Edition

ISBN: 9783540673941
Publication date: 16th May 2000
Author: Siegfried Graf, Harald Luschgy
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 230 pages
Series: Lecture Notes in Mathematics
Genres: Probability and statistics
Stochastics
Management decision making
Pattern recognition
Operational research
Communications engineering / telecommunications