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File Format | PDF
File Size | 1.25 MB
Pages | 306
Language | English
Category | Electronics
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Description: About of the book is devoted to Shannon source and channel coding
theorems; the remainder addresses sources, channels, and codes and on
information and distortion measures and their properties.
In this edition:
Expanded
treatment of stationary or sliding-block codes and their relations to
traditional block codes
Expanded
discussion of results from ergodic theory relevant to information theory
Expanded
treatment of B-processes -- processes formed by stationary coding memoryless
sources
New material on
trading off information and distortion, including the Marton inequality
New material on
the properties of optimal and asymptotically optimal source codes
New material on
the relationships of source coding and rate-constrained simulation or modeling
of random processes
Significant
material not covered in other information theory texts includes
stationary/sliding-block codes, a geometric view of information theory provided
by process distance measures, and general Shannon coding theorems for
asymptotic mean stationary sources, which may be neither ergodic nor
stationary, and d-bar continuous channels.
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Entropy and Information Theory ( Electronics )
Download | Free
