A novel description and mathematical analysis of the Fractional Discrete Fourier Transform
Evan Zayas

TL;DR
This paper introduces a new mathematical framework for the Fractional Discrete Fourier Transform, providing a closed-form expression and analyzing its properties, which enhances understanding of its rotation-like behavior between time and frequency domains.
Contribution
It presents a novel closed-form expression for the FrDFT matrix and offers a detailed analysis of its properties, advancing the theoretical understanding of the transform.
Findings
FrDFT corresponds to a 2D rotation in time-frequency space
A new closed-form expression for the transformation matrix is derived
Preliminary analysis reveals key properties of the transform
Abstract
I discuss the nature of a Fractional Discrete Fourier Transform (FrDFT) described algorithmically by a combination of chirp transforms and ordinary DFTs. The transform is shown to be consistent with a continuous two-dimensional rotation between the time and frequency domains. I further present a new closed-form expression for the transformation matrix and some preliminary analysis of its properties.
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Taxonomy
TopicsMathematical Analysis and Transform Methods · Digital Filter Design and Implementation · Image and Signal Denoising Methods
