Information Combining: Models, Bounds and Applications

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Outline [1] Basic Operations [2] BISMC, Mutual Information Profile [3] Theorems, Bounds, Interpretations [4] Examples, Applications [4.1] Information Processing Characteristic J. Huber: Information Combining: Models, Bounds and Applications 2/66
Outline [1] Basic Operations [2] BISMC, Mutual Information Profile [3] Theorems, Bounds, Interpretations [4] Examples, Applications [4.1] Information Processing Characteristic [4.2] Parametrization of EXIT Chart J. Huber: Information Combining: Models, Bounds and Applications 2/66
Page 1 and 2: Information Combining: Models, Boun
Page 3 and 4: Outline [1] Basic Operations [2] BI
Page 5: Outline [1] Basic Operations [2] BI
Page 13 and 14: References, Historical Notes Defini
Page 15 and 16: References, Historical Notes Bounds
Page 17 and 18: References, Historical Notes Ph.D.
Page 19 and 20: 1. Motivation, Basic Examples, Basi
Page 21 and 22: 1. Motivation, Basic Examples, Basi
Page 23 and 24: 1. Basic Operations in Decoding [A]
Page 29 and 30: 1. Basic Combining Operations [A] C
Page 31 and 32: 1. Basic Combining Operations [A] C
Page 33 and 34: 1. Basic Combining Operations [B] R
Page 35 and 36: 1. Basic Combining Operations [B] R
Page 37 and 38: 1. Basic Combining Operations Abeli
Page 43 and 44: 1. Basic Combining Operations Bijec
Page 49 and 50: 1. Basic Combining Operations Combi
Page 51 and 52: 1. Generalization X BISMC Y J. Hube
Page 53 and 54: 1. Generalization X BISMC I Y No ha
Page 55 and 56: 1. Generalization X0 X1 XN−1 I0 =
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1. Generalization X0 X1 XN−1 I0 =
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1. Example All channels are Binary
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1. Example X ∈{0, 1} All channels
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2. Binary Input Symmetric Memoryles
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2. Decomposition of a BISMC Theorem
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2. Decomposition of a BISMC Binary
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2. Decomposition of a BISMC BIAWGN
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2. Decomposition of a BISMC MIP Cur
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2. Example of Application of MIP Bo
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2. Example of Application of MIP Bo
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2. Example of Application of MIP BS
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2. Remark on Jensen’s Inequality
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2. Example of Application of MIP In
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3. Bounds on Information Combining
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Flashback - Remember! Interpretatio
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Flashback - Remember! Interpretatio
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4. Examples, Applications 4.1 Infor
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4. IPC Information Processing Chara
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4. IPC (N,N − 1, 2) Single Parity
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4. IPC (N,N − 1, 2) Single Parity
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4. IPC Rate-1/2 Repeat Accumulate (
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4. IPC Rate-1/2 Original Turbo Code
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4. IPC Estimation of Error Probabil
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4. Examples, Applications 4.2 Param
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4. Examples, Applications 4.2 Param
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4. Examples, Applications 4.3 Desig
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4. Design of Multiple Turbo Codes A
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4. Design of Multiple Turbo Codes P
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4. Examples, Applications 4.4 Bound
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4. Bounds on EXIT Functions for reg
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4. Examples, Applications U ∈{0,
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4. Bounds on EXIT Functions for dif
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4. Examples, Applications 4.6 EXIT
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5. Conclusions Any binary input sym
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Acknowledgement Dipl. Ing. Hehn, Di
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Information Combining: Models, Bounds and Applications

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