Algebraic Coding Theory (Revised Edition)

Algebraic Coding Theory (Revised Edition)

by Elwyn R Berlekamp
ISBN-10:
9814635898
ISBN-13:
9789814635899
Pub. Date:
05/18/2015
Publisher:
World Scientific Publishing Company, Incorporated
ISBN-10:
9814635898
ISBN-13:
9789814635899
Pub. Date:
05/18/2015
Publisher:
World Scientific Publishing Company, Incorporated
Algebraic Coding Theory (Revised Edition)

Algebraic Coding Theory (Revised Edition)

by Elwyn R Berlekamp
$180.0
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Overview

This is the revised edition of Berlekamp's famous book, 'Algebraic Coding Theory', originally published in 1968, wherein he introduced several algorithms which have subsequently dominated engineering practice in this field. One of these is an algorithm for decoding Reed-Solomon and Bose-Chaudhuri-Hocquenghem codes that subsequently became known as the Berlekamp-Massey Algorithm. Another is the Berlekamp algorithm for factoring polynomials over finite fields, whose later extensions and embellishments became widely used in symbolic manipulation systems. Other novel algorithms improved the basic methods for doing various arithmetic operations in finite fields of characteristic two. Other major research contributions in this book included a new class of Lee metric codes, and precise asymptotic results on the number of information symbols in long binary BCH codes.Selected chapters of the book became a standard graduate textbook.Both practicing engineers and scholars will find this book to be of great value.

Product Details

ISBN-13: 9789814635899
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 05/18/2015
Edition description: Revised
Pages: 500
Sales rank: 717,822
Product dimensions: 5.90(w) x 9.10(h) x 1.20(d)

Table of Contents

Preface to the Revised Edition vii

Preface to the Second Edition xiii

Preface xv

Acknowledgments xix

1 Basic Binary Codes 1

1.1 Repetition Codes and Single-Parity-Check Codes 1

1.2 Linear Codes 4

1.3 Hamming Codes 8

1.4 Manipulative Introduction to Double-Error-Correcting BCH Codes 12

Problems 20

2 Arithmetic Operations Modulo an Irreducible Binary Polynomial 21

2.1 A Closer Look at Euclid's Algorithm 21

*2.2 Logical Circuitry 30

*2.3 Multiplicative Inversion 36

*2.4 Multiplication 44

*2.5 The Solution of Simultaneous Linear Equations 51

*2.6 Special Methods for Solving Simultaneous Linear Equations When the Coefficient Matrix is Mostly Zeros 63

Problems 69

3 The Number of Irreducible q-ary Polynomials of Given Degree 70

3.1 A Brute-Force Attack 70

3.2 Generating Functions 73

3.3 The Number of Irreducible Monic q-ary Polynomials of Given Degree?A Refined Approach 76

3.4 The Moebius Inversion Formulas 81

Problems 85

4 The Structure of Finite Fields 87

4.1 Definitions 87

4.2 Multiplicative Structure of Finite Fields 88

4.3 Cyclotomic Polynomials 90

4.4 Algebraic Structure of Finite Fields 96

4.5 Examples 105

*4.6 Algebraic Closure 111

*4.7 Determining Minimal Polynomials 112

Problems 117

5 Cyclic Binary Codes 119

5.1 Recording the Columns of the Parity-Check Matrix of Hamming Codes 119

5.2 Recording the Columns of the Parity-Check Matrix of Double-Error-Correcting Binary BCH Codes 125

5.3 General Properties of Cyclic Codes 129

5.4 The Chien Search 132

5.5 Outline of General Decoder for Any Cyclic Binary Code 136

5.6 Example 138

5.7 Example 139

5.8 Equlvalence of Cyclic Codes Defined in Terms of Different Primitive nth Roots of Unity 141

Problems 144

6 The Factorization of Polynomials Over Finite Fields 146

6.1 A General Algorithm 146

*6.2 Determining the Period of a Polynomial 150

*6.3 Trinomials Over GF(2) 153

*6.4 Factoring xn ? 1 Explicitly 154

*6.5 Determining the Degrees of the Irreducible Factors of the Cyclotomic Polynomials 156

*6.6 Is the Number of Irreducible Factors of f (x) Over GF (q) Odd or Even? 159

6.7 Quadratic Reciprocity 171

Problems 173

7 Binary BCH Codes for Correcting Multiple Errors 176

7.1 Examples 176

7.2 The Key Equation for Decoding Binary BCH Codes 178

7.3 Heuristic Solution of the Key Equation 180

7.4 An Algorithm for Solving the Key Equation Over Any Field 184

*7.5 Relation to Matrix Decoding Methods 188

*7.6 Simplifications in Algorithm 7.4 for Binary BCH Codes 192

7.7 Implementation of Binary BCH Decoders Problems 195

Problems 199

8 Nonbinary Coding 200

8.1 Modulation Schemes 200

8.2 Weight Functions 204

Problem 206

9 Negacyclic Codes for the Lee Metric 207

9.1 Error Locations and the Error-Locator Polynomial 207

9.2 Double-Error-Correcting Codes 209

9.3 Negacyclic Codes 211

Problems 217

10 Gorenstein-Zierler Generalized Nonbinary BCH Codes for the Hamming Metric 218

10.1 The Generalized BCH Codes and An Algorithm to Decode Them 218

10.2 Examples 221

*10.3 Alternate BCH Codes and Extended BCH Codes 223

10.4 Decoding Erasures as Well as Errors 229

10.5 Decoding More Than t Errors 231

10.6 Examples 237

Problems 240

11 Linearized Polynomials and Affine Polynomials 241

11.1 How to Find Their Roots 241

11.2 The Least Affine Multiple 245

*11.3 Abstract Properties of Linearized and Affine Polynomials 247

*11.4 Transformations of f (z) 255

*11.5 Root Counting 257

*11.6 Low-Weight Codewords in Certain Codes 262

Problems 271

12 The Enumeration of Information Symbols in BCH Codes 273

12.1 Converting the Problem to an Enumeration of Certain Integers mod n 273

*12.2 Converting the Problem for Primitive BCH Codes to an Enumeration of Certain q-ary Sequences 275

*12.3 Sequence Enumeration Theorems 278

*12.4 Examples 284

*12.5 The Enumeration of Information Symbols in Nonprimitive BCH Codes 287

12.6 Asymptotic Results 290

*12.7 Actual Distance 294

Problems 296

13 The Information Rate of the Optimum Codes 298

13.1 The Hamming-Rao High-Rate Volume Bound 298

*13.2 Perfect Codes 302

*13.3 The Bound D ≤ n + 1 - k 309

13.4 Plotkin's Low-Rate Average Distance Bound 311

*13.5 Equidistant Codes 315

13.6 The Elias Bound 318

13.7 The Gilbert Bound 321

13.8 Asymptotic Error Bounds and Finite Special Cases 324

14 Codes Derived by Modifying or Combining Other Codes 331

14.1 Extending a Code by Annexing More Check Digits 333

14.2 Puncturing a Code by Deleting Check Digits 334

14.3 Augmenting Additional Codewords to the Code 335

14.4 Expurgating Codewords from the Code 335

14.5 Lengthening the Code by Annexing More Message Digits 336

14.6 Shortening the Code by Omitting Message Digits 336

14.7 Subfield Subcodes 336

14.8 Direct-Product Codes and Their Relatives 338

14.9 Concatenated Codes 347

15 Other Important Coding and Decoding Methods 350

15.1 Srivastava Codes?Noncyclic Codes with an Algebraic Decoding Algorithm 350

15.2 Residue Codes?Good Codes Which are Hard to Decode 352

15.3 Reed-Muller Codes?Weak Codes Which are Easy to Decode 361

15.4 Threshold Decoding?The Best Known Algorithm for Decoding Certain Codes 367

15.5 Orthogonalizable Codes Based on Finite Geometries 375

15.6 Convolutional Codes?A Survey 394

Problems 394

16 Weight Enumerators 397

16.1 The Relationship between Weight Enumerators and the Probability of Decoding Failure 397

16.2 The MacWilliams-Pless Equations for the Weight Enumerators of Dual Codes 400

*16.3 Weight Restrictions 407

*16.4 Kasami's Weight Enumerators for Certain Subcodes of the Second-Order RM Code 417

*16.5 The Weight Enumerator for the Reed-Solomon Codes 429

Appendix A 441

Appendix B 442

References 443

References to the Second Edition 453

Index 461

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