Applied Digital Information theory
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 » |