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Fourier Transforms  Hightech Application and Current Trends
The main purpose of this book is to provide a modern review about recent advances in Fourier transforms as the most powerful analytical tool for hightech application in electrical, electronic, and computer engineering, as well as other applications.

Advances in Wavelet Theory and Their Applications
In this book some advances in wavelet theory and their applications in engineering, physics and technology are presented. The applications were carefully selected and grouped in five main sections  Signal Processing, Electrical Systems, Fault Diagnosis and Monitoring, Image Processing and Applications in Engineering.

Fourier Transform Applications (Salih Mohammed Salih)
The book focuses on Fourier transform applications in electromagnetic field and microwave, medical applications, error control coding, methods for option pricing, and Helbert transform application.

Fourier Transform  Signal Processing (Salih Mohammed Salih)
The field of signal processing has seen explosive growth during the past decades; almost all textbooks on signal processing have a section devoted to the Fourier transform theory. For this reason, this book focuses on the Fourier transform applications in signal processing techniques.

Fourier and Wavelet Signal Processing (Martin Vetterli, et al)
This book presents a thorough introduction to the mathematical foundations of signal and image processing using Fourier and Wavelet Transforms. It provides a set of tools for users of stateoftheart signal processing technology and a solid foundation for those hoping to advance the theory and practice of signal processing.

Discrete Wavelet Transforms  Algorithms and Applications
This book reviews the recent progress in discrete wavelet transform algorithms and applications. The book covers a wide range of methods (e.g. lifting, shift invariance, multiscale analysis) for constructing DWTs.

Discrete Wavelet Transforms  Theory and Applications
The present book describes the latest progress in DWT analysis in nonstationary signal processing, multiscale image enhancement as well as in biomedical and industrial applications. Each book chapter is a separate entity providing examples both the theory and applications.

Fourier Transforms  Approach to Scientific Principles
This book aims to provide information about Fourier transform to those needing to use infrared spectroscopy, by explaining the fundamental aspects of the Fourier transform, and techniques for analyzing infrared data obtained for a wide number of materials.

Linear Partial Differential Equations and Fourier Theory
This highly visual introductory textbook presents an indepth treatment suitable for undergraduates in mathematics and physics, gradually introducing abstraction while always keeping the link to physical motivation.

Fast Fourier Transforms (C. Sidney Burrus)
This book uses an index map, a polynomial decomposition, an operator factorization, and a conversion to a filter to develop a very general and efficient description of fast algorithms to calculate the discrete Fourier transform (DFT).

Mathematics Of The Discrete Fourier Transform (DFT)
Detailed derivation of the Discrete Fourier Transform (DFT) and its associated mathematics, including elementary audio signal processing applications and matlab programming examples.

Fourier Transforms and Wavelet
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