Scrambling Techniques for Digital Transmission

Scramblers and shift register generators (SRG) have been used for decades in the shaping of digital transmission signals and in generating pseudo-random binary sequences for transmission applications. In recent years more attention has been paid to this area than ever before due to the change of today's telecommunication environment. This publication presents the theory and applications of three scrambling techniques - Frame Synchronous Scrambling (FSS), Distributed Sample Scrambling (DSS) and Self Synchronous Scrambling (SSS) with an emphasis on their application in digital transmission. Based on the authors' research over the past ten years, this is the first book of its kind.

Contenu
I Preliminaries.- 1 Digital Transmission and Scrambling.- 2 Fundamentals of Scrambling Techniques.- II Frame Synchronous Scrambling.- 3 Introduction to Frame Synchronous Scrambling.- 4 Sequence Spaces.- 5 Shift Register Generators.- 6 Serial Frame Synchronous Scrambling.- 7 Parallel Frame Synchronous Scrambling.- 8 Multibit-Parallel Frame Synchronous Scrambling.- 9 Applications to Scrambling in SDH/SONET Transmission.- III Distributed Sample Scrambling.- 10 Introduction to Distributed Sample Scrambling.- 11 Prediction of Scrambling Sequences.- 12 Serial Distributed Sample Scrambling.- 13 Parallel Distributed Sample Scrambling.- 14 Multibit-Parallel Distributed Sample Scrambling.- 15 Three-State Synchronization Mechanism under Sample Errors.- 16 Applications to Cell-Based ATM and High-Speed Data Networks.- IV Self Synchronous Scrambling.- 17 Introduction to Self Synchronous Scrambling.- 18 Serial Self Synchronous Scrambling.- 19 Parallel Self Synchronous Scrambling.- 20 Applications to Scrambling in SDH-Based ATM Transmission.- 21 Signal-Alignment with Parallel Self Synchronous Scrambling.- Appendices.- A Facts from Abstract Algebra.- A.1 Field.- A.2 Extension of Fields.- A.3 Irreducible Polynomials.- A.4 Primitive Polynomials.- A.5 Others.- B Facts from Linear Algebra.- B.1 Vector Space.- B.2 Minimal Polynomials of Matrices.- B.3 Properties of Companion Matrix.- B.4 Similarity of Matrices.- References.