A Universal Method of Linear Approximation With Controllable Error for the Efficient Implementation of Transcendental Functions
IEEE Transactions on Circuits and Systems I: Regular Papers, pp. 177-188, 2020.
HardwareApproximation errorLinear approximationTable lookupMeasurementMore(2+)
Transcendental functions are commonly used in many fields such as nonlinear functions of artificial neural networks (ANNs). Due to nonlinearity of these functions, hardware implementation of the functions faces many challenges. Some methods cannot control the approximation accuracy beforehand, or they cannot approximate target functions a...More
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