Signal Processing: A Mathematical Approach

By Charles L. Byrne

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.

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Table of Contents

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Introduction

Part One: Complex Exponential Function Models

Part Two: Matching and Filtering

Part Three: Fourier Analysis

Part Four: Analysis and Synthesis

Part Five: Fourier Transforms and Estimation

Part Six: Matrix Methods

Part Seven: Prediction and Estimation

Part Eight: Nonlinear Models

Part Nine: Probabilistic Methods

Part Ten: Iterative Algorithms

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

Part Eleven: More Applications

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