Algorithms for computing an approximate polynomial matrix eigenvalue decomposition of para-Hermitian systems have emerged as a powerful, generic signal processing tool. A technique that has shown much success in this regard is the sequential best rotation (SBR2) algorithm. Proposed is a scheme for parallelising SBR2 with a view to exploiting the modern architectural features and inherent parallelism of field-programmable gate array (FPGA) technology. Experiments show that the proposed scheme can achieve low execution times while requiring minimal FPGA resources.
- polynomial matrix eigenvalue decomposition
- Xilinx System Generator tool
Redif, S., & Kasap, S. (2013). Parallel algorithm for computation of second-order sequential best rotations. International Journal of Electronics, 100(12), 1646-1651 . https://doi.org/10.1080/00207217.2012.751343