Fundamentals of Convolutional Coding 2nd Edition by Rolf Johannesson, Kamil Zigangirov ISBN 9780470276839 0470276835

Fundamentals of Convolutional Coding 2nd Edition by Rolf Johannesson, Kamil Sh. Zigangirov- Ebook PDF Instant Download/Delivery: 9780470276839, 0470276835
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Product details: 

ISBN 10: 0470276835

ISBN 13: 9780470276839

Author: Rolf Johannesson, Kamil Sh. Zigangirov

Fundamentals of Convolutional Coding, Second Edition, regarded as a bible of convolutional coding brings you a clear and comprehensive discussion of the basic principles of this field

• Two new chapters on low-density parity-check (LDPC) convolutional codes and iterative coding
• Viterbi, BCJR, BEAST, list, and sequential decoding of convolutional codes
• Distance properties of convolutional codes
• Includes a downloadable solutions manual

Table of contents: 

1 Introduction

1.1 Why error control?
1.2 Block codes — a primer
1.3 Codes on graphs
1.4 A first encounter with convolutional codes
1.5 Block codes versus convolutional codes
1.6 Capacity limits and potential coding gain revisited
1.7 Comments
→ Problems

2 Convolutional encoders — Structural properties

2.1 Convolutional codes and their encoders
2.2 The Smith form of polynomial convolutional generator matrices
2.3 Encoder inverses
2.4 Encoder and code equivalences
2.5 Basic encoding matrices
2.6 Minimal basic encoding matrices
2.7 Minimal encoding matrices and minimal encoders
2.8 Canonical encoding matrices
2.9 Minimality via the invariant factor theorem
2.10 Syndrome formers and dual encoders
2.11 Systematic convolutional encoders
2.12 Some properties of generator matrices — an overview
2.13 Comments
→ Problems

3 Distance properties of convolutional codes

3.1 Distance measures — a first encounter
3.2 Active distances
3.3 Properties of convolutional codes via the active distances
3.4 Lower bound on the distance profile
3.5 Upper bounds on the free distance
3.6 Time-varying convolutional codes
3.7 Lower bound on the free distance
3.8 Lower bounds on the active distances
3.9 Distances of cascaded concatenated codes
3.10 Path enumerators
3.11 Comments
→ Problems

4 Decoding of convolutional codes

4.1 The Viterbi algorithm revisited
4.2 Error bounds for time-invariant convolutional codes
4.3 Tighter error bounds
4.4 Exact bit error probability
4.5 The BCJR algorithm
4.6 The one-way algorithm
4.7 Upper bound for extremely noisy channels
4.8 Tailbiting trellises
4.9 Decoding of tailbiting codes
4.10 BEAST decoding
4.11 Comments
→ Problems

5 Random ensemble bounds for decoding error probability

5.1 Upper bounds on output error bursts
5.2 Bounds for periodically time-varying codes
5.3 Lower error probability bounds
5.4 General bounds
5.5 Bounds for finite backsearch
5.6 Quantization
5.7 Comments
→ Problems

6 List decoding

6.1 List decoding algorithms
6.2 Performance
6.3 List minimum weight
6.4 Upper bounds on correct path loss
6.5 Lower bounds
6.6 Correct path loss (time-invariant)
6.7 Comments
→ Problems

7 Sequential decoding

7.1 The Fano metric
7.2 The stack algorithm
7.3 The Fano algorithm
7.4 The Creeper algorithm
7.5 Simulations
7.6 Computational analysis
7.7 Error probability analysis
7.8 Analysis of Fano
7.9 Analysis of Creeper
7.10 Comments
→ Problems

8 Low-density parity-check codes

8.1 LDPC block codes
8.2 LDPC convolutional codes
8.3 Block and convolutional permutors
8.4 Distance bounds
8.5 Iterative decoding
8.6 Iterative limits and thresholds
8.7 Braided block codes
8.8 Comments
→ Problems

9 Turbo coding

9.1 Parallel concatenation of two convolutional codes
9.2 Distance bounds
9.3 Concatenation of three or more codes
9.4 Iterative decoding
9.5 Braided convolutional codes
9.6 Comments
→ Problems

10 Convolutional codes with good distance properties

10.1 Computing the Viterbi spectrum
10.2 The magnificent BEAST
10.3 Rate R = 1/2 codes
10.4 Low-rate codes
10.5 High-rate codes
10.6 Tailbiting trellis encoders
10.7 Comments

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Tags: Rolf Johannesson, Kamil Sh Zigangirov, Fundamentals of Convolutional