Publication | Closed Access
A neural net approach to discrete Hartley and Fourier transforms
71
Citations
5
References
1989
Year
EngineeringRecurrent Neural NetworkRc Time ConstantsDiscrete Fourier TransformCircuit AnalysisElectronic CircuitElectrical EngineeringComputer EngineeringComputer ScienceDeep LearningSignal ProcessingCircuit DesignCellular Neural NetworkComputational NeuroscienceNeural Net ApproachNeuronal NetworkDigital Circuit DesignBrain-like ComputingBrain ModelingFrequency Domain Analysis
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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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