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I NTRODUCTION Term of information is in our civilization so broad that it is impossible to expect a definition of the universal measure of information. In many domains, especially in (tale)communication, source of information, normally discrete data, and transmission channel are described by their probabilistic models. For such models, a mathematical theory called information theory , developed in the late 40's of the last century by C. E. Shannon, can be applied. Fig.1 1 presents block diagram of a communication system. Block diagram of communication system
The following blocks will be discussed in details: Source, Source + Channel Encoder, Channel, Channel Decoder. Then, all the considered problems can be divided into two classes.
Problems to be considered Source models and channel models.
Encoding and decoding techniques,
general description,
detailed description of the selected (most important) techniques (codes).
SOURCE OFINFORMATION
SOURCEENCODER
CHANNELENCODER
MODULATOR
CHANNEL
DEMODULATOR
CHANNELDECODER
SOURCEDECODER
END USEROFINFORMATION
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