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Principles of Fourier Analysis

Principles of Fourier Analysis by Kenneth B. Howell
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PRELIMINARIES
The Starting Point
Basic Terminology, Notation, and Conventions
Basic Analysis I: Continuity and Smoothness
Basic Analysis II: Integration and Infinite Series
Symmetry and Periodicity
Elementary Complex Analysis
Functions of Several Variables
FOURIER SERIES
Heuristic Derivation of the Fourier Series Formulas
The Trigonometric Fourier Series
Fourier Series over Finite Intervals (Sine and Cosine Series)
Inner Products, Norms, and Orthogonality
The Complex Exponential Fourier Series
Convergence and Fourier's Conjecture
Convergence and Fourier's Conjecture: The Proofs
Derivatives and Integrals of Fourier Series
Applications
CLASSICAL FOURIER TRANSFORMS
Heuristic Derivation of the Classical Fourier Transform
Integrals on Infinite Intervals
The Fourier Integral Transforms
Classical Fourier Transforms and Classically Transformable Functions
Some Elementary Identities: Translation, Scaling, and Conjugation
Differentiation and Fourier Transforms
Gaussians and Other Very Rapidly Decreasing Functions
Convolution and Transforms of Products
Correlation, Square-Integrable Functions, and the Fundamental Identity of Fourier Analysis
Identity Sequences
Generalizing the Classical Theory: A Naive Approach
Fourier Analysis in the Analysis of Systems
Gaussians as Test Functions, and Proofs of Some Important Theorems
GENERALIZED FUNCTIONS AND FOURIER TRANSFORMS
A Starting Point for the Generalized Theory
Gaussian Test Functions
Generalized Functions
Sequences and Series of Generalized Functions
Basic Transforms of Generalized Fourier Analysis
Generalized Products, Convolutions, and Definite Integrals
Periodic Functions and Regular Arrays
General Solutions to Simple Equations and the Pole Functions
THE DISCRETE THEORY
Periodic, Regular Arrays
Sampling and the Discrete Fourier Transform
APPENDICES
CRC Press; May 2001
791 pages; ISBN 9781420036909
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Title: Principles of Fourier Analysis
Author: Kenneth B. Howell
 
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