A scalable pipelined complex valued matrix inversion architecture
This paper presents a fast, pipelined and scalable hardware architecture for inverting complex valued matrices. The matrix inversion algorithm involves, a QR-factorization based on the squared Givens rotations algorithm, the application of a recurrence algorithm for inversion of an upper triangular matrix R, and a matrix multiplication of R-1 with Q. We show that traditional triangular
