Learn More
—A table-based method for high-speed function approximation in single-precision floating-point format is presented in this paper. Our focus is the approximation of reciprocal, square root, square root reciprocal, exponentials, logarithms, trigonometric functions, powering (with a fixed exponent p), or special functions. The algorithm presented here combines(More)
— The Viterbi algorithm (VA) is characterized by a graph, called a trellis, which defines the transitions between states. To define an area efficient architecture for the VA is equivalent to obtaining an efficient mapping of the trellis. In this paper, we present a methodology that permits the efficient hardware mapping of the VA onto a processor network of(More)
In this paper we propose an architecture for the computation of the double-precision floating-point multiply-add fused (MAF) operation A+(B/spl times/C) that permits to compute the floating-point addition with lower latency than floating-point multiplication and MAF. While previous MAF architectures compute the three operations with the same latency, the(More)
—A new method for the high-speed computation of double-precision floating-point reciprocal, division, square root, and inverse square root operations is presented in this paper. This method employs a second-degree minimax polynomial approximation to obtain an accurate initial estimate of the reciprocal and the inverse square root values, and then performs a(More)
We present the design of parallel architectures for the computation of the Hough transform based on application-specific CORDIC processors. The design of the circular CORDIC in rotation mode is simplified by the a priori knowledge of the angles participating in the transform and a high throughput is obtained through a pipelined design combined with the use(More)