2022Unpublished venueRequires access

Fourier Series, Fourier Transforms and the DFT

W. Kenneth Jenkins

Open publisher page 13 citations

Abstract

Classical Fourier methods such as the Fourier series and the Fourier integral are used for continuous time (CT) signals and systems. A more recently developed set of Fourier methods, including the discrete time Fourier transform and the discrete Fourier transform, are extensions of basic Fourier concepts that apply to discrete time (DT) signals. This chapter presents many different Fourier transform concepts for both CT and DT signals and systems. It illustrates how these various forms of the Fourier transform relate to one another, and how they are all derived from more general complex transforms, the complex Fourier transform for CT, and the bilateral z-transform for DT. The chapter shows that many of these transforms have similar properties which are inherited from their parent forms, and that a parallel hierarchy exists among Fourier transform concepts in the CT and the DT worlds.

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What this paper is about

Classical Fourier methods such as the Fourier series and the Fourier integral are used for continuous time (CT) signals and systems. A more recently developed set of Fourier methods, including the discrete time Fourier transform and the discrete Fourier transform, are extensions of basic Fourier concepts that apply to discrete time (DT) signals. This chapter presents many different Fourier transform concepts for both CT and DT signals and systems. It illustrates how these various forms of the Fourier transform relate to one another, and how they are all derived from more general complex transforms, the complex Fourier transform for CT, and the bilateral z-transform for DT. The chapter shows that many of these transforms have similar properties which are inherited from their parent forms, and that a parallel hierarchy exists among Fourier transform concepts in the CT and the DT worlds.

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Available abstract

Classical Fourier methods such as the Fourier series and the Fourier integral are used for continuous time (CT) signals and systems. A more recently developed set of Fourier methods, including the discrete time Fourier transform and the discrete Fourier transform, are extensions of basic Fourier concepts that apply to discrete time (DT) signals. This chapter presents many different Fourier transform concepts for both CT and DT signals and systems. It illustrates how these various forms of the Fourier transform relate to one another, and how they are all derived from more general complex transforms, the complex Fourier transform for CT, and the bilateral z-transform for DT. The chapter shows that many of these transforms have similar properties which are inherited from their parent forms, and that a parallel hierarchy exists among Fourier transform concepts in the CT and the DT worlds.

Key concepts: Discrete-time Fourier transform, Fourier transform, Discrete Fourier transform (general), Non-uniform discrete Fourier transform, Fourier inversion theorem, Fourier series, Fractional Fourier transform, Fourier analysis

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