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INFORMATION THEORY AND
CODING
5th SEM E&C
JAYANTHDWIJESH H P M.tech (DECS)
Assistant Professor – Dept of E&C
B.G.S INSTITUTE OF TECHNOLOGY (B.G.S.I.T)
B.G Nagara, Nagamangala Tq, Mandya District- 571448
FORMULAS FOR REFERENCE
MODULE –1(INFORMATION THEORY)
 Amount of information or Self information.
𝑰 𝑲 = log (
𝟏
𝑷 𝑲
) or 𝑰 𝑲 = 𝐥𝐨𝐠 𝟐 𝟏(
𝟏
𝑷 𝑲
) or I (𝒎 𝑲) = log (
𝟏
𝑷 𝑲
)
 Entropy of source or Average information content of the source.
H = 𝑷𝒊 𝐥𝐨𝐠 𝟐 𝟏 (
𝟏
𝑷 𝒊
𝑴
𝒊=𝟏 ) bits/symbol or H = 𝑷 𝑲 𝐥𝐨𝐠 𝟐 𝟏 (
𝟏
𝑷 𝑲
𝑴
𝑲=𝟏 ) bits/symbol or
H(S) = 𝑷𝒊 𝐥𝐨𝐠 𝟐 𝟏 (
𝟏
𝑷 𝒊
𝒒
𝒊=𝟏 ) bits/symbol or H(S) = 𝑷𝒊 𝐥𝐨𝐠(
𝟏
𝑷 𝒊
𝒒
𝒊=𝟏 ) bits/symbol or
H(S) = 𝑷 𝑲 𝐥𝐨𝐠 𝟐 𝟏 (
𝟏
𝑷 𝑲
𝑵
𝑲=𝟏 ) bits/symbol
 Information rate or average information rate.
𝑹 𝑺 = 𝒓 𝒔H(S) bits/sec or R= 𝒓 𝒔H bits/sec or R=r H bits/sec
 Bits.
𝑰 𝑲 = 𝐥𝐨𝐠 𝟐 𝟏(
𝟏
𝑷 𝑲
) bits
 Hartley’s or Decits.
𝑰 𝑲 = 𝐥𝐨𝐠 𝟏𝟎 𝟏(
𝟏
𝑷 𝑲
) Hartley’s or Decits
 Nats or Neper.
𝑰 𝑲 = 𝐥𝐨𝐠 𝒆 𝟏(
𝟏
𝑷 𝑲
) Nats or Neper.
 Extremal or Upper bound or Maximum entropy
𝑯(𝑺) 𝒎𝒂𝒙 = 𝐥𝐨𝐠 𝟐
𝒒 bits/message-symbol or 𝑯(𝑺) 𝒎𝒂𝒙 = 𝐥𝐨𝐠 𝟐
𝑵 bits/message-symbol.
 Source efficiency
𝜼 𝑺=
𝑯(𝑺)
𝑯(𝑺) 𝒎𝒂𝒙
or 𝜼 𝑺=
𝑯(𝑺)
𝑯(𝑺) 𝒎𝒂𝒙
X 𝟏𝟎𝟎%
 Source redundancy
𝑹 𝜼 𝑺
= 1- 𝜼 𝑺 = (1 -
𝑯(𝑺)
𝑯(𝑺) 𝒎𝒂𝒙
) X 𝟏𝟎𝟎%
 The average information content of the symbols emitted from the i th state.
𝑯𝒊= 𝑷𝒊𝒋 𝐥𝐨𝐠 𝟐 𝟏 (
𝟏
𝑷𝒊𝒋
𝒏
𝒋=𝟏 ) bits/symbol or
𝑯𝒊= 𝑷𝒊𝒋 𝐥𝐨𝐠 𝒐 𝟏 (
𝟏
𝑷𝒊𝒋
𝒏
𝒋=𝟏 ) bits/symbol
 The average information content of the symbols emitted from the k th state.
𝑯 𝒌= 𝑷𝒍𝑲 𝐥𝐨𝐠 𝟐 𝟏 (
𝟏
𝑷𝒍𝑲
𝑴
𝒍=𝟏 ) bits/symbol
 The average information content per symbol in a message of length N.
𝑮 𝑵=
𝟏
𝑵
𝑷(𝒊 𝒎𝒊)log
𝟏
𝑷(𝒎 𝒊)
or 𝑮 𝑵= −
𝟏
𝑵
𝑷(𝒊 𝒎𝒊)log P (𝒎𝒊) =
𝟏
𝑵
H ( 𝒔)
 The entropy of the second order symbols.
𝑮 𝑵 =
𝟏
𝑵
H ( 𝒔 𝒙 𝑵
) where N=2.
 The entropy of the third order symbols.
𝑮 𝑵 =
𝟏
𝑵
H ( 𝒔 𝒙 𝑵
) where N=3.
 Log properties
1. 𝐥𝐨𝐠 𝒂 𝒃 =
𝟏
𝐥𝐨𝐠 𝒃 𝒂
𝟐.
𝐥𝐨𝐠 𝒙 𝒃
𝐥𝐨𝐠 𝒙 𝒂
= 𝐥𝐨𝐠 𝒂 𝒃
𝟑. 𝐥𝐨𝐠 𝒆 𝟏𝟎 = ln (10)
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
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VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes
VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes

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VTU CBCS E&C 5th sem Information theory and coding(15EC54) Module -1notes

  • 1. INFORMATION THEORY AND CODING 5th SEM E&C JAYANTHDWIJESH H P M.tech (DECS) Assistant Professor – Dept of E&C B.G.S INSTITUTE OF TECHNOLOGY (B.G.S.I.T) B.G Nagara, Nagamangala Tq, Mandya District- 571448
  • 2. FORMULAS FOR REFERENCE MODULE –1(INFORMATION THEORY)  Amount of information or Self information. 𝑰 𝑲 = log ( 𝟏 𝑷 𝑲 ) or 𝑰 𝑲 = 𝐥𝐨𝐠 𝟐 𝟏( 𝟏 𝑷 𝑲 ) or I (𝒎 𝑲) = log ( 𝟏 𝑷 𝑲 )  Entropy of source or Average information content of the source. H = 𝑷𝒊 𝐥𝐨𝐠 𝟐 𝟏 ( 𝟏 𝑷 𝒊 𝑴 𝒊=𝟏 ) bits/symbol or H = 𝑷 𝑲 𝐥𝐨𝐠 𝟐 𝟏 ( 𝟏 𝑷 𝑲 𝑴 𝑲=𝟏 ) bits/symbol or H(S) = 𝑷𝒊 𝐥𝐨𝐠 𝟐 𝟏 ( 𝟏 𝑷 𝒊 𝒒 𝒊=𝟏 ) bits/symbol or H(S) = 𝑷𝒊 𝐥𝐨𝐠( 𝟏 𝑷 𝒊 𝒒 𝒊=𝟏 ) bits/symbol or H(S) = 𝑷 𝑲 𝐥𝐨𝐠 𝟐 𝟏 ( 𝟏 𝑷 𝑲 𝑵 𝑲=𝟏 ) bits/symbol  Information rate or average information rate. 𝑹 𝑺 = 𝒓 𝒔H(S) bits/sec or R= 𝒓 𝒔H bits/sec or R=r H bits/sec  Bits. 𝑰 𝑲 = 𝐥𝐨𝐠 𝟐 𝟏( 𝟏 𝑷 𝑲 ) bits  Hartley’s or Decits. 𝑰 𝑲 = 𝐥𝐨𝐠 𝟏𝟎 𝟏( 𝟏 𝑷 𝑲 ) Hartley’s or Decits  Nats or Neper. 𝑰 𝑲 = 𝐥𝐨𝐠 𝒆 𝟏( 𝟏 𝑷 𝑲 ) Nats or Neper.  Extremal or Upper bound or Maximum entropy 𝑯(𝑺) 𝒎𝒂𝒙 = 𝐥𝐨𝐠 𝟐 𝒒 bits/message-symbol or 𝑯(𝑺) 𝒎𝒂𝒙 = 𝐥𝐨𝐠 𝟐 𝑵 bits/message-symbol.  Source efficiency 𝜼 𝑺= 𝑯(𝑺) 𝑯(𝑺) 𝒎𝒂𝒙 or 𝜼 𝑺= 𝑯(𝑺) 𝑯(𝑺) 𝒎𝒂𝒙 X 𝟏𝟎𝟎%  Source redundancy 𝑹 𝜼 𝑺 = 1- 𝜼 𝑺 = (1 - 𝑯(𝑺) 𝑯(𝑺) 𝒎𝒂𝒙 ) X 𝟏𝟎𝟎%  The average information content of the symbols emitted from the i th state. 𝑯𝒊= 𝑷𝒊𝒋 𝐥𝐨𝐠 𝟐 𝟏 ( 𝟏 𝑷𝒊𝒋 𝒏 𝒋=𝟏 ) bits/symbol or 𝑯𝒊= 𝑷𝒊𝒋 𝐥𝐨𝐠 𝒐 𝟏 ( 𝟏 𝑷𝒊𝒋 𝒏 𝒋=𝟏 ) bits/symbol  The average information content of the symbols emitted from the k th state.
  • 3. 𝑯 𝒌= 𝑷𝒍𝑲 𝐥𝐨𝐠 𝟐 𝟏 ( 𝟏 𝑷𝒍𝑲 𝑴 𝒍=𝟏 ) bits/symbol  The average information content per symbol in a message of length N. 𝑮 𝑵= 𝟏 𝑵 𝑷(𝒊 𝒎𝒊)log 𝟏 𝑷(𝒎 𝒊) or 𝑮 𝑵= − 𝟏 𝑵 𝑷(𝒊 𝒎𝒊)log P (𝒎𝒊) = 𝟏 𝑵 H ( 𝒔)  The entropy of the second order symbols. 𝑮 𝑵 = 𝟏 𝑵 H ( 𝒔 𝒙 𝑵 ) where N=2.  The entropy of the third order symbols. 𝑮 𝑵 = 𝟏 𝑵 H ( 𝒔 𝒙 𝑵 ) where N=3.  Log properties 1. 𝐥𝐨𝐠 𝒂 𝒃 = 𝟏 𝐥𝐨𝐠 𝒃 𝒂 𝟐. 𝐥𝐨𝐠 𝒙 𝒃 𝐥𝐨𝐠 𝒙 𝒂 = 𝐥𝐨𝐠 𝒂 𝒃 𝟑. 𝐥𝐨𝐠 𝒆 𝟏𝟎 = ln (10)