An enhanced mixed-scaling-rotation CORDIC algorithm with weighted amplifying factor
Jaina Mehta, Pratik Trivedi
Abstract
Jaina Mehta, Pratik Trivedi
Abstract
Mixed Scaling Rotation COordinate Rotational DIgital Computer (MSR-CORDIC) algorithm has found its application in the areas where the rotation angles are known beforehand. The algorithm merges the micro-rotation and scaling operations resulting in the elimination of the overhead caused by the scaling operation. Through this paper, an improved MSR-CORDIC algorithm is proposed. This algorithm provides higher signal-to-quantization-noise ratio (SQNR) performance while preserving the features offered by the original MSR-CORDIC algorithm. The novelty of the paper lies in redefining the amplifying factor by multiplying the rotational sequences to the corresponding signed-power-of-two (SPT) terms. The proposed algorithm offers a better alternative to MSR-CORDIC without additional hardware complexity.
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Mixed Scaling Rotation COordinate Rotational DIgital Computer (MSR-CORDIC) algorithm has found its application in the areas where the rotation angles are known beforehand. The algorithm merges the micro-rotation and scaling operations resulting in the elimination of the overhead caused by the scaling operation. Through this paper, an improved MSR-CORDIC algorithm is proposed. This algorithm provides higher signal-to-quantization-noise ratio (SQNR) performance while preserving the features offered by the original MSR-CORDIC algorithm. The novelty of the paper lies in redefining the amplifying factor by multiplying the rotational sequences to the corresponding signed-power-of-two (SPT) terms. The proposed algorithm offers a better alternative to MSR-CORDIC without additional hardware complexity.
Key concepts: CORDIC, Algorithm, Scaling, Rotation (mathematics), Quantization (signal processing), Computer science, Overhead (engineering), Mathematics