2012Unpublished venueRequires access

A novel generalized time-frequency transform inspired by the Fractional Fourier Transform for higher order chirps

Shishir B. Sahay, Deepak Pande, Naval Wing, Vikram M. Gadre, Prashant Sohani

Open publisher page 6 citations

Abstract

In this manuscript, we propose a class of linear integral transforms that extends the capabilities of the Fractional Fourier Transform (FrFT), while preserving some key properties of the FrFT. The FrFT has diverse applications in literature, including the parameter estimation of linear chirp signals. Here, we also illustrate ways to employ the proposed new transforms to estimate higher order chirps, such as quadratic chirp signals.

About this research paper

What this paper is about

In this manuscript, we propose a class of linear integral transforms that extends the capabilities of the Fractional Fourier Transform (FrFT), while preserving some key properties of the FrFT. The FrFT has diverse applications in literature, including the parameter estimation of linear chirp signals. Here, we also illustrate ways to employ the proposed new transforms to estimate higher order chirps, such as quadratic chirp signals.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

In this manuscript, we propose a class of linear integral transforms that extends the capabilities of the Fractional Fourier Transform (FrFT), while preserving some key properties of the FrFT. The FrFT has diverse applications in literature, including the parameter estimation of linear chirp signals. Here, we also illustrate ways to employ the proposed new transforms to estimate higher order chirps, such as quadratic chirp signals.

Key concepts: Fractional Fourier transform, Chirp, Fourier transform, Quadratic equation, Computer science, Algorithm, Time–frequency analysis, Mathematics

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