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Discrete Applied Mathematics
Structure of parallel multipliers for a class of fields GF(2m)
Information and Computation
An Algorithm to Design Finite Field Multipliers Using a Self-Dual Normal Basis
IEEE Transactions on Computers
Bit serial multiplication in finite fields
SIAM Journal on Discrete Mathematics
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IEEE Transactions on Computers
Low Complexity Bit-Parallel Multipliers for a Class of Finite Fields
IEEE Transactions on Computers
New Low-Complexity Bit-Parallel Finite Field Multipliers Using Weakly Dual Bases
IEEE Transactions on Computers
An Efficient Optimal Normal Basis Type II Multiplier
IEEE Transactions on Computers
IEEE Transactions on Computers
Cryptography and Secure Communications
Cryptography and Secure Communications
Handbook of Applied Cryptography
Handbook of Applied Cryptography
A Modified Massey-Omura Parallel Multiplier for a Class of Finite Fields
IEEE Transactions on Computers
A Systolic Power-Sum Circuit for GF(2/sup m/)
IEEE Transactions on Computers
Bit-Level Systolic Array for Fast Exponentiation in GF(2/sup m/)
IEEE Transactions on Computers
GF(2m) Multiplication and Division Over the Dual Basis
IEEE Transactions on Computers
ARITH '03 Proceedings of the 16th IEEE Symposium on Computer Arithmetic (ARITH-16'03)
Systolic Multipliers for Finite Fields GF(2m)
IEEE Transactions on Computers
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
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In general, there are three popular basis representations, standard (canonical, polynomial) basis, normal basis, and dual basis, for representing elements in GF(2m). Various basis representations have their distinct advantages and have their different associated multiplication architectures. In this paper, we will present a unified systolic multiplication architecture, by employing Hankel matrix-vector multiplication, for various basis representations. For various element representation in GF(2m), we will show that various basis multiplications can be performed by Hankel matrix-vector multiplications. A comparison with existing and similar structures has shown that the proposed architectures perform well both in space and time complexities.