Design and simulation of reusable IP CORDIC core for special-purpose processors
Tze‐Yun Sung, Hsi‐Chin Hsin
Abstract
Tze‐Yun Sung, Hsi‐Chin Hsin
Abstract
Coordinate rotation digital computer (CORDIC) is a well-known algorithm using simple adders and shifters to evaluate various elementary functions. A double rotation CORDIC algorithm with an efficient strategy to predict the rotation direction is proposed for a high-speed sine and cosine generator and complex multiplier. Simulation results show that the computation time can be improved by 37.2%, 42.67% and 46.04% for 16-bit, 32-bit and 64-bit operands, respectively. In addition, the overall power consumption per CORDIC arithmetic computation can be improved by 21.2% and 38.5% for 32-bit and 64-bit operands, respectively. Thus, the proposed double rotation CORDIC processor is suitable for high-speed applications.
OpenAlex reports 24 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Coordinate rotation digital computer (CORDIC) is a well-known algorithm using simple adders and shifters to evaluate various elementary functions. A double rotation CORDIC algorithm with an efficient strategy to predict the rotation direction is proposed for a high-speed sine and cosine generator and complex multiplier. Simulation results show that the computation time can be improved by 37.2%, 42.67% and 46.04% for 16-bit, 32-bit and 64-bit operands, respectively. In addition, the overall power consumption per CORDIC arithmetic computation can be improved by 21.2% and 38.5% for 32-bit and 64-bit operands, respectively. Thus, the proposed double rotation CORDIC processor is suitable for high-speed applications.
Key concepts: CORDIC, Operand, Adder, Computer science, Parallel computing, Computation, Multiplier (economics), Rotation (mathematics)