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- Path: sparky!uunet!gatech!nscf!lakes!kalki33!system
- From: kalki33!system@lakes.trenton.sc.us
- Newsgroups: talk.origins
- Subject: Definition/Information
- Message-ID: <iHsFuB1w165w@kalki33>
- Date: Wed, 18 Nov 92 08:25:41 EST
- Reply-To: kalki33!system@lakes.trenton.sc.us
- Organization: Kalki's Infoline BBS, Aiken, SC, USA
- Lines: 48
-
-
- Some definitions of information theoretic terms...for future reference.
-
- NOTATION
-
- Numbers and letters within square brackets represent
- subscripts. For example, p[k] means p with the subscript k.
-
- "SUM" means the usual sigma notation for a summation.
-
- DEFINITIONS
-
- Let S be a system of events E[1],...,E[n] such that
-
- 1) P(E[k]) = p[k] (the probability associated with event E[k])
-
- 2) 0<=p[k]<=1
-
- n
- 3) SUM p[k] = 1
- k=1
-
- The self-information of the event E[k] is defined as
-
- I(E[k]) = -log p[k] (1.1)
-
-
- The entropy of S is defined as
-
- n
- H(S) = - SUM (p[k] log p[k]) (1.2)
- k=1
-
-
- Sincerely,
- Kalki Dasa
-
-
-
- -------------------------------------------------------
- | Don't forget to chant: Hare Krishna Hare Krishna |
- | Krishna Krishna Hare Hare |
- | Hare Rama Hare Rama |
- | Rama Rama Hare Hare |
- | |
- | Kalki's Infoline BBS Aiken, South Carolina, USA |
- | (kalki33!kalki@lakes.trenton.sc.us) |
- -------------------------------------------------------
-