Systolic Array Computation Of The Singular Value Decomposition
Alan M. Finn, Franklin T. Luk, Christopher Pottle · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1982
Linear time computation of the singular value decomposition (SVD) would be useful in many real time signal processing applications. Two algorithms for the SVD have been developed for implementation on a quadratic array of processors. A specific architecture is proposed and we demonstrate the mapping of the algorithms to the architecture. The algorithms and architecture together have been verified by functional level and register transfer level simulation.