2014Electronics LettersOpen access

Two‐band fast Hartley transform

Athanassios Skodras, Maurice F. Aburdene, Ashutosh Nandi

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Abstract

Efficient algorithms have been developed over the past 30 years for computing the forward and inverse discrete Hartley transforms (DHTs). These are similar to the fast Fourier transform (FFT) algorithms for computing the discrete Fourier transform (DFT). Most of these methods seek to minimise the complexity of computations and/or the number of operations. A new approach for the computation of the radix‐2 fast Hartley transform (FHT) is presented. The proposed algorithm, based on a two‐band decomposition of the input data, possesses a very regular structure, avoids the input or out data shuffling, requires slightly less multiplications than the existing approaches, but increases the number of additions.

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What this paper is about

Efficient algorithms have been developed over the past 30 years for computing the forward and inverse discrete Hartley transforms (DHTs). These are similar to the fast Fourier transform (FFT) algorithms for computing the discrete Fourier transform (DFT). Most of these methods seek to minimise the complexity of computations and/or the number of operations. A new approach for the computation of the radix‐2 fast Hartley transform (FHT) is presented. The proposed algorithm, based on a two‐band decomposition of the input data, possesses a very regular structure, avoids the input or out data shuffling, requires slightly less multiplications than the existing approaches, but increases the number of additions.

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Available abstract

Efficient algorithms have been developed over the past 30 years for computing the forward and inverse discrete Hartley transforms (DHTs). These are similar to the fast Fourier transform (FFT) algorithms for computing the discrete Fourier transform (DFT). Most of these methods seek to minimise the complexity of computations and/or the number of operations. A new approach for the computation of the radix‐2 fast Hartley transform (FHT) is presented. The proposed algorithm, based on a two‐band decomposition of the input data, possesses a very regular structure, avoids the input or out data shuffling, requires slightly less multiplications than the existing approaches, but increases the number of additions.

Key concepts: Discrete Hartley transform, Fast Fourier transform, Hartley transform, Discrete Fourier transform (general), Split-radix FFT algorithm, Prime-factor FFT algorithm, Shuffling, Computer science

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