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In this paper, the parallel COrdinate Rotation DIgital Computer (CORDIC) rotation algorithm in circular and hyperbolic coordinate is proposed. The most critical path of the conventional CORDIC rotation lies in the determination of rotation directions, which depends on the sign of the remaining angle after each iteration. Using the binary-to-bipolar recoding (BBR) and microrotation angle recoding techniques, the rotation directions can be predicted directly from the binary value of the initial input angle. The original sequential CORDIC rotations can be divided into two phases where the rotations in each phase can be executed in parallel. Our proposed architectures have a more regular and simpler prediction scheme compared to previous approaches. The critical path delay is reduced since the concurrently predicted rotations can be combined using multioperand carry-save addition structures.

It is proved that the Toeplitz binary value matrix inversion associated with mth-order B-spline interpolation can be implemented using only 2(m+1) additions. Pipelined architectures are developed for real-time B-spline interpolation based on simple running average filters. It is shown that an ideal interpolating function, which is approximated by a truncated sinc function with M half cycles, can be implemented using B-splines with M+2 multiplies. With insignificant loss of performance, the coefficients at the knots of the truncated sinc function can be approximated using coefficients which are powers of two. The resulting implementation requires only M+4m+6 additions. It is believed that the truncated sinc function approximated by zero-order B-spline functions actually achieves the best visual performance. >