Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- Part I Theoretical Foundations
- Part II Analysis of Algorithms for Phase Retrieval
- Part III Further Properties of Hybrid Iterative Algorithms and Suggestions for Improvement
- 11 Introduction to Part III
- 12 Statistics of Algorithms
- 13 Suggestions for Improvements
- 14 Concluding Remarks
- 15 Notational Conventions
- References
- Index
11 - Introduction to Part III
from Part III - Further Properties of Hybrid Iterative Algorithms and Suggestions for Improvement
Published online by Cambridge University Press: 21 April 2022
Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- Part I Theoretical Foundations
- Part II Analysis of Algorithms for Phase Retrieval
- Part III Further Properties of Hybrid Iterative Algorithms and Suggestions for Improvement
- 11 Introduction to Part III
- 12 Statistics of Algorithms
- 13 Suggestions for Improvements
- 14 Concluding Remarks
- 15 Notational Conventions
- References
- Index
Summary
This chapter describes the contents of Part III of the book, which covers statistical properties of hybrid iterative maps, and a range of proposals for improving the outcome of phase retrieval experiments. These include suggestions for different experimental procedures, and different reconstruction algorithms, as well as methods of postprocessing collections of approximate reconstructions.
- Type
- Chapter
- Information
- Geometry of the Phase Retrieval ProblemGraveyard of Algorithms, pp. 223 - 225Publisher: Cambridge University PressPrint publication year: 2022