Reducing Switching Activity of Subtraction via Variable Truncation of the Most-Significant Bits
Journal of VLSI Signal Processing Systems
Efficient VLSI Architectures for Multiuser Channel Estimation in Wireless Base-Station Receivers
Journal of VLSI Signal Processing Systems
FPGA Resource Reduction Through Truncated Multiplication
FPL '01 Proceedings of the 11th International Conference on Field-Programmable Logic and Applications
Modified booth truncated multipliers
Proceedings of the 14th ACM Great Lakes symposium on VLSI
Reciprocal and Reciprocal Square Root Units with Operand Modification and Multiplication
Journal of VLSI Signal Processing Systems
Truncated Online Arithmetic with Applications to Communication Systems
IEEE Transactions on Computers
Enhanced-functionality multipliers
Journal of Systems Architecture: the EUROMICRO Journal
Truncated binary multipliers with variable correction and minimum mean square error
IEEE Transactions on Circuits and Systems Part I: Regular Papers
A low error and high performance multiplexer-based truncated multiplier
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Hardware implementation of tag-reader mutual authentication protocol for RFID systems
Integration, the VLSI Journal
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Reducing the power dissipation of parallel multipliers is important in the design of digital signal processing systems. In many of these systems, the products of parallel multipliers are rounded to avoid growth in word size. The power dissipation and area of rounded parallel multipliers can be significantly reduced by a technique known as truncated multiplication. With this technique, the least significant columns of the multiplication matrix are not used. Instead, the carries generated by these columns are estimated. This estimate is added with the most significant columns to produce the rounded product. This paper presents the design and implementation of parallel truncated multipliers. Simulations indicate that truncated parallel multipliers dissipate between 29 and 40 percent less power than standard parallel multipliers for operand sizes of 16 and 32 bits.