FPGA implementation of a second-order convolutive blind signal separation algorithm

Server Kasap, Soydan Redif

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

1 Citation (Scopus)

Abstract

The second-order sequential best rotation (SBR2) algorithm may be viewed as a blind signal separation algorithm. In this paper, we consider implementing SBR2 with a Field-Programmable Gate Array (FPGA). The proposed algorithm is an extension of the parallel Jacobi method to para-Hermitian polynomial matrices. Hardware implementation of the algorithm is achieved via a highly pipelined, non-systolic FPGA architecture. Here we demonstrate that the proposed architecture is scalable in terms of the size of the input para-Hermitian matrix.
Original languageEnglish
Title of host publication2013 21st Signal Processing and Communications Applications Conference, SIU 2013
PublisherIEEE
Number of pages4
ISBN (Electronic)978-1-4673-5563-6, 978-1-4673-5561-2
ISBN (Print)978-1-4673-5562-9
DOIs
Publication statusPublished - 13 Jun 2013
Externally publishedYes
Event2013 21st Signal Processing and Communications Applications Conference - Haspolat, Turkey
Duration: 24 Apr 201326 Apr 2013

Conference

Conference2013 21st Signal Processing and Communications Applications Conference
Abbreviated titleSIU
CountryTurkey
CityHaspolat
Period24/04/1326/04/13

Keywords

  • Second-Order Sequential Best Rotation algorithm
  • Parallel Jacobi Method
  • • Field-Programmable Gate Array (FPGA)

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  • Cite this

    Kasap, S., & Redif, S. (2013). FPGA implementation of a second-order convolutive blind signal separation algorithm. In 2013 21st Signal Processing and Communications Applications Conference, SIU 2013 IEEE. https://doi.org/10.1109/SIU.2013.6531530