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Trigonometric functions are one of the most applicable functions in digital signal processing. In this paper, we propose two approaches for optimizing pipeline implementation of the CORDIC algorithm and compare it with other previous approaches. The proposed solutions are implemented on one of the Xilinx Virtex family's FPGAs. Our simulation results show that for high input bits, our approach is preferable...
This paper proposes hardware solutions to the computation for the trigonometric and square root functions of inverse kinematics. They are based on an existing pipeline arithmetic which employs the CORDIC(Coordinate Rotation Digital Computer) algorithm. This integrated approach enhances computational efficiency by reducing the duplicate calculations of this functions and maximizing the parallel/pipelining...
A two-sided rotation Jacobi SVD algorithm is used to compute the SVD and is implemented on a two million gate FPGA. A mesh-connected array structure is proposed based on Brent, Luk, and Van Loan's idea of an expandable square systolic array of simple 2x2 processors to compute the SVD of a large matrix, so as to shorten the iteration time and thus increase the implementation speed. The array consists...
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