2019
DOI: 10.1109/tcsi.2019.2922988
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Area–Time–Power Efficient FFT Architectures Based on Binary-Signed-Digit CORDIC

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Cited by 24 publications
(5 citation statements)
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“…The SD representation has been used to reduce the time of execution of the multipliers used, for example, in an artificial neural network (ANN) inference phase as in [52], or to reduce the hardware complexity of multipliers used in an FPGA implementation of an ANN architecture as in [53], but also in many other efficient VLSI implementations [54][55][56][57].…”
Section: Amentioning
confidence: 99%
“…The SD representation has been used to reduce the time of execution of the multipliers used, for example, in an artificial neural network (ANN) inference phase as in [52], or to reduce the hardware complexity of multipliers used in an FPGA implementation of an ANN architecture as in [53], but also in many other efficient VLSI implementations [54][55][56][57].…”
Section: Amentioning
confidence: 99%
“…Volder et al in 1959 [3], mainly used in the calculation of trigonometric functions, hyperbolas, exponents and logarithms [4]. CORDIC algorithm has strong portability, convenient implementation and controllable precision [5][6][7]. In the long process of development, many scholars have carried out various researches on the algorithm and proposed different improvement methods for different defects of the algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…It can implement many complex functions and mathematical problems with simple addition, subtraction, and shift operations. Table 1 lists some applications of the CORDIC algorithm, including trigonometric functions [ 20 ], hyperbolic functions [ 21 ], FFT [ 22 ] and singular value decomposition [ 23 ]. Nonetheless, the computational speed of the conventional CORDIC algorithm is limited by the number of iterations, i.e., the more iterations of the CORDIC algorithm, the higher the computational accuracy and the longer the time delay.…”
Section: Introductionmentioning
confidence: 99%