Combined circuit architecture for computing normal basis and montgomery multiplications over GF(2m)
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Scalable and Systolic Montgomery Multipliers over GF(2m)
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Concurrent error detection architectures for Gaussian normal basis multiplication over GF(2m)
Integration, the VLSI Journal
Journal of Signal Processing Systems
Speeding up Euclid's GCD algorithm with no magnitude comparisons
International Journal of Information and Computer Security
Test generation in systolic architecture for multiplication over GF(2m)
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Combined circuit architecture for computing normal basis and Montgomery multiplications over GF(2m)
International Journal of Autonomous and Adaptive Communications Systems
Information Processing Letters
Scalable Gaussian Normal Basis Multipliers over GF(2m) Using Hankel Matrix-Vector Representation
Journal of Signal Processing Systems
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Normal and dual bases are two popular representation bases for elements in GF(2m). In general, each distinct representation basis has its associated different hardware architecture. In this paper, we will present a unified systolic array multiplication architecture for both normal and dual bases, such a unified multiplication architecture is termed a Hankel multiplier. The Hankel multiplier has lower space complexity while compared with other existing normal basis multipliers and dual basis multipliers.