Multicarrier modulation with low par : applications to DSL and wireless /

Multicarrier Modulation with Low PAR: Applications to DSL and Wireless provides the first comprehensive formulation of the PAR problem for multicarrier modulation and proposes three new methods for PAR reduction. The information in this book will be vital to practicing engineers, industrial research...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Tellado, Jose
Συγγραφή απο Οργανισμό/Αρχή: Springer-Verlag
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, Mass. : Kluwer Academic Publishers, 2000.
Σειρά:Kluwer international series in engineering and computer science ; SECS 587.
Θέματα:
Διαθέσιμο Online:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=76104
Πίνακας περιεχομένων:
  • Cover
  • Table of Contents
  • List of Figures
  • Foreword
  • Preface
  • Acknowledgments
  • 1. INTRODUCTION
  • 1. Outline of Book
  • 2. MULTICARRIER MODULATION
  • 1. Multicarrier Modulation
  • 2. Partitioning for Vector Coding
  • 3. Partitioning for DMT and OFDM
  • 4. Loading Principles
  • 3. PEAK TO AVERAGE RATIO
  • 1. Multicarrier Signals
  • 2. Peak to Average Ratio
  • 3. Statistical Properties of Multicarrier Signals
  • 4. Bounds on Continuous-Time PAR using Discrete-Time Samples
  • 5. Description of Memoryless Nonlinearity
  • 6. Effect of Nonlinearities on System Performance
  • 7. Limits for Distortionless PAR Reduction
  • 8. Techniques for PAR Reduction
  • 9. New PAR Reduction Structures
  • 4. PAR REDUCTION BY TONE RESERVATION
  • 1. Problem Formulation
  • 2. PAR Reduction Signals for Tone Reservation
  • 3. Optimal PAR Reduction Signals for Tone Reservation
  • 4. Simple Gradient Algorithms with Fast Convergence
  • 5. Iterative PAR Reduction as a Controlled Clipper
  • 6. Tone Reservation Kernel Design
  • 7. Results
  • 5. PAR REDUCTION BY TONE INJECTION
  • 1. PAR Reduction using Generalized Constellations
  • 2. Power Increase
  • 3. Maximum PAR Reduction per Dimension Translation
  • 4. Simple Algorithms for Computing ?[n/L]
  • 5. Results
  • 6. Conclusions
  • 6. MAXIMUM LIKELIHOOD DETECTION OF DISTORTED MULTICARRIER SIGNALS
  • 1. Memoryless Nonlinearity effects on Achievable Rate
  • 2. Maximum Likelihood (ML) Detection
  • 3. Numerical Results
  • 4. Conclusions
  • 7. SUMMARY AND CONCLUSIONS
  • 1. Book Summary