Parallel AR computation with a reconfigurable signal processor

A proposed reconfigurable signal processor has hundreds of processors connected by optical fibers to an optical crossbar switch and uses static dataflow. The system, optical switch, programming methodology, and functional operation are described. Levinson-Durbin, Burg. and Schur algorithms for solving Toeplitz equations arising in optimal filters and AR modeling are reviewed. The implementation of these algorithms on the proposed processor are considered. Reconfigurability permits the most suitable algorithms to be selected and trade offs to be made between speed and efficiency.