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Adaptation of the Mactaggart and Jack Complex Multiplication Algorithm for Floating-Point Operators
October 1992 (vol. 41 no. 10)
pp. 1324-1326

With a suitable treatment of the exponents in the input operands, a hardware implementation of the Mactaggart and Jack fixed-point complex multiplication algorithm can also calculate a floating-point product with no loss in accuracy from the greater dynamic range of the floating-point inputs. This floating-point technique can be extended to any sum to two products operation, such as encountered in matrix multiplication and vector cross-products.

[1] I. R. Mactaggart and M. A. Jack, "A single chip radix-2 FFT butterfly architecture using parallel data distributed arithmetic,"IEEE J. Solid-State Circuits, vol. SC-19, no. 3, pp. 368-373, June 1984.

Index Terms:
Mactaggart complex multiplication; Jack complex multiplication algorithm; floating-point operators; hardware implementation; matrix multiplication; vector cross-products; digital arithmetic.
Citation:
R.J. Cosentino, J.J. Vaccaro, "Adaptation of the Mactaggart and Jack Complex Multiplication Algorithm for Floating-Point Operators," IEEE Transactions on Computers, vol. 41, no. 10, pp. 1324-1326, Oct. 1992, doi:10.1109/12.166608
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