Sample-Rate Conversion by the Giant FFT Revisited—A Theoretical and Experimental Investigation

High-quality sample-rate conversion (SRC) is essential in audio applications and remains a central concern in audio engineering. This paper focuses on the Giant FFT conversion method introduced by Välimäki and Bilbao in 2023, using the ideal sinc-based SRC as reference. In this context, the evaluation and control of the time-domain aliasing error play an important role. The contribution of this paper is threefold. First, a formal analysis relates the Giant FFT conversion method to the sinc-based reference, with corresponding mathematical derivations. Second, a time-domain zero-padding strategy is proposed to mitigate inherent time-domain aliasing, together with formulas to estimate conversion-error bounds relative to the reference. Third, a correlation-based approach enables efficient computation of the time-domain aliasing error on standard PC hardware within seconds for typical audio tracks. This evaluation determines the zero-padding length required for a desired accuracy. Experimental results with audio and other test signals confirm the analysis. The extended method enables efficient offline SRC with the possibility of reducing time-domain aliasing errors to negligible levels in professional audio applications.

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Publication Details

Journal
Journal of the Audio Engineering Society
Published
2026-11-06
DOI
https://doi.org/10.17743/jaes.2026.0307
Primary Topic
Digital Filter Design and Implementation
Type
article
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article

Sample-Rate Conversion by the Giant FFT Revisited—A Theoretical and Experimental Investigation

M. Schönle, Stefan Brückl
1 links
Journal of the Audio Engineering Society
Digital Filter Design and Implementation
article

Sample-Rate Conversion by the Giant FFT Revisited—A Theoretical and Experimental Investigation

M. Schönle, Stefan Brückl
article en

Abstract

High-quality sample-rate conversion (SRC) is essential in audio applications and remains a central concern in audio engineering. This paper focuses on the Giant FFT conversion method introduced by Välimäki and Bilbao in 2023, using the ideal sinc-based SRC as reference. In this context, the evaluation and control of the time-domain aliasing error play an important role. The contribution of this paper is threefold. First, a formal analysis relates the Giant FFT conversion method to the sinc-based reference, with corresponding mathematical derivations. Second, a time-domain zero-padding strategy is proposed to mitigate inherent time-domain aliasing, together with formulas to estimate conversion-error bounds relative to the reference. Third, a correlation-based approach enables efficient computation of the time-domain aliasing error on standard PC hardware within seconds for typical audio tracks. This evaluation determines the zero-padding length required for a desired accuracy. Experimental results with audio and other test signals confirm the analysis. The extended method enables efficient offline SRC with the possibility of reducing time-domain aliasing errors to negligible levels in professional audio applications.

Journal of the Audio Engineering SocietyVol. 74(11)
Openalex Percentile: Top 18%
Digital Filter Design and Implementation
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