alexa A neural net approach to discrete Hartley and Fourier transforms


Journal of Information Technology & Software Engineering

Author(s): AD Culhane

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The authors present an electronic circuit, based on a neural (i.e. multiply connected) net to compute the discrete Fourier transform (DFT). They show both analytically and by simulation that the circuit is guaranteed to settle into the correct values within RC time constants (on the order of hundreds of nanoseconds), and they compare its performance to other on-chip DFT implementations.

This article was published in IEEE Transactions on Circuits and Systems and referenced in Journal of Information Technology & Software Engineering

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