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Applied Digital Information theory
James L.Massey

Applied Digital Information theory

Author / Organization:
Information Theory 153 Pages Verification Pending

Overview & Synopsis

This note serves as a comprehensive guide to fundamental concepts in
information theory and coding. This pdf provides discrete probability theory,
information theory, and coding principles. Beginning with Shannons measure of
information, then delves into the efficient coding of information, the
methodology of typical sequences is introduced, emphasizing the distinction
between lossy and lossless source encoding. The text also discusses coding for
noisy digital channels, block coding principles and tree and trellis coding
principles.

Indexed from repository: FreeBookCentre (freebookcentre.net)

Document Information

Document Title Applied Digital Information theory
Author / Organization James L.Massey
Categories Information Theory
Resource Verification Listed PDF (Verification Pending)
Original Host Website FreeBookCentre (freebookcentre.net)
File Format application/pdf (Portable Document Format)
Page Count 153 pages
Language EN
Catalog ID DOC-309206
Original Source Link Visit Source Page on freebookcentre.net »