Parallel algorithm for computation of second-order sequential best rotations

Soydan Redif, S. Kasap

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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.
Original languageEnglish
Pages (from-to)1646-1651
Number of pages6
JournalInternational Journal of Electronics
Issue number12
Early online date21 Dec 2012
Publication statusPublished - 2013
Externally publishedYes


  • polynomial matrix eigenvalue decomposition
  • SBR2
  • Xilinx System Generator tool
  • FPGA


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