Quantization of Random Processes and Related Statistical Problems

Quantization of Random Processes and Related Statistical Problems

In this thesis we study a scalar uniform and non-uniform quantization of random processes (or signals) in average case setting. Quantization (or discretization) of a signal is a standard task in all nalog/digital devices (e.g., digital recorders, remote sensors etc.). We evaluate the necessary memor...

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Bibliographic Details
Main Author: Shykula, Mykola
Format: Doctoral Thesis
Language:English
Published: Umeå universitet, Matematik och matematisk statistik 2006
Subjects:
scalar quantization
random process
rate
distortion
additive noise model
run-length encoding
compression
sample estimate
asymptotical normality
Mathematical statistics
Matematisk statistik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-883
http://nbn-resolving.de/urn:isbn:91-7264-183-5

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-883
http://nbn-resolving.de/urn:isbn:91-7264-183-5

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