The conditional entropy can be determined through a syllable entropy:
, (3.5)
. (3.6)
The conditional entropy has the following property: if the symbols and also are independent,
. (10.16)
Hence,
. (3.7)
Only for sources with independent symbols
, (3.8)
. (3.9)
10.2.3. Two reasons for decreasing of the average information quantity in the real message.
As
, (3.10)
there are two reasons for decreasing of the average information quantity in the real message:
§ non-uniformity of distribution of probabilities of symbols occurrence,
§ correlation connections between them.
In the real messages the correlation connections exist not only between two adjacentsymbols, but also between by l+1 symbols. Speak, that the source has memory on l of symbols. The formulas (5), (12), (13) are deduced for a case l = 1. Similarly define conditional entropy for common cases, when l > 1. For real sources entropy and productivity differ from maximal meanings, and the redundancy of the messages is great.
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