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- Title Fourier Transform - Signal Processing
- Author(s) Salih Mohammed Salih
- Publisher: IntechOpen; eBook (Creative Commons Licensed)
- License(s): Creative Commons License (CC)
- Hardcover 354 pages
- eBook PDF and PDF Files
- Language: English
- ISBN-10: N/A
- ISBN-13: 978-953-51-0453-7
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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. The book chapters are related to DFT, FFT, OFDM, estimation techniques and the image processing techqniques.
It is hoped that this book will provide the background, references and the incentive to encourage further research and results in this area as well as provide tools for practical applications. It provides an applications-oriented to signal processing written primarily for electrical engineers, communication engineers, signal processing engineers, mathematicians and graduate students will also find it useful as a reference for their research activities.
About the Authors- N/A
- Fourier Transforms and Wavelet
- Digital Signal Processing (DSP), Sound and Imaging Processing
- Discrete Mathematics
- Electronic and Computer Engineering

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Fourier Analysis for Beginners (Larry N. Thibos)
The essential mathematics required to understand and apply Fourier analysis is explained. The tutorial style of writing, combined with diagrams, offers a visually intuitive and rigorous account of Fourier methods.
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Fast Fourier Transforms (C. Sidney Burrus, et al)
This book focuses on the Discrete Fourier Transform (DFT), discrete convolution, and, particularly, the fast algorithms to calculate them. Topics on digital signal processing since its beginning, and new results in hardware, theory and applications, etc.
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Lectures on the Fourier Transform and Its Applications
The goal is to help engineering and science students cultivate more advanced mathematical know-how and increase confidence in learning and using mathematics, as well as appreciate the coherence of the subject.
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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 state-of-the-art signal processing technology and a solid foundation.
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An Introduction to Digital Signal Processing: Implementation
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Applied Signal Processing (Sadasivan Puthusserypady)
This book tries to link between the analog and digital signal processing domains. Begins by explaining the fundamental concepts in analog signal processing and then progresses towards the digital signal processing.
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Signal Processing: A Mathematical Approach (Charles L. Byrne)
This book is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment, with Fourier series, matrices, probability, and statistics, etc.
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Signals and Systems (Michael D. Adams)
This open access book provides a detailed introduction to continuous-time and discrete-time signals and systems, with a focus on both theory and applications. Many worked-through examples are provided.
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Structure and Interpretation of Signals and Systems
This book introduces the mathematical models used to design and understand both Signals and Systems. Developing a deep understanding of how to digitally create and manipulate signals to measure and control the physical world and communication.
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Introduction to Signal Processing (Sophocles J. Orfanidis)
This book differs from the classical DSP book model pioneered by O/S. Includes chapters on DFT, Z-Transform and Filter Design. The book starts out with what one reviewer calls "fun topics", and DSP applications".
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