Signal Processing: A Mathematical Approach
A practical guide to the mathematics behind signal processing, this book provides the essential mathematical background and tools necessary to understand and employ signal processing techniques.
TABLE OF CONTENTS Signal Processing: A Mathematical Approach
Part Ten: Iterative Algorithms
Chapter List
- Chapter 44: Projection onto Convex Sets
- Chapter 45: Parameter Estimation in Reconstruction
- Chapter 46: Emission Tomography
- Chapter 47: A Tale of Two Algorithms
- Chapter 48: Maximum A Posteriori Estimation
- Chapter 49: Block-Iterative Algorithms
- Chapter 50: The Algebraic Reconstruction Technique
- Chapter 51: Methods Related to the ART
- Chapter 52: Conjugate-Direction Methods in Optimization
- Chapter 53: The MART and Related Methods
- Chapter 54: The Block-Iterative EMML Method
- Chapter 55: A General Iterative Algorithm
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