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

Server Kasap; Soydan Redif

doi:10.1109/SIU.2013.6531530

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

Server Kasap, Soydan Redif

European University of Lefke

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

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 language	English
Title of host publication	2013 21st Signal Processing and Communications Applications Conference, SIU 2013
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	978-1-4673-5563-6, 978-1-4673-5561-2
ISBN (Print)	978-1-4673-5562-9
DOIs	https://doi.org/10.1109/SIU.2013.6531530
Publication status	Published - 13 Jun 2013
Externally published	Yes
Event	2013 21st Signal Processing and Communications Applications Conference - Haspolat, Turkey Duration: 24 Apr 2013 → 26 Apr 2013

Conference

Conference	2013 21st Signal Processing and Communications Applications Conference
Abbreviated title	SIU
Country/Territory	Turkey
City	Haspolat
Period	24/04/13 → 26/04/13

Keywords

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

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10.1109/SIU.2013.6531530

Cite this

@inproceedings{cf9e5f7c02f74b91aa0e5982f6fd5601,

title = "FPGA implementation of a second-order convolutive blind signal separation algorithm",

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.",

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

author = "Server Kasap and Soydan Redif",

year = "2013",

month = jun,

day = "13",

doi = "10.1109/SIU.2013.6531530",

language = "English",

isbn = "978-1-4673-5562-9",

booktitle = "2013 21st Signal Processing and Communications Applications Conference, SIU 2013",

publisher = "IEEE",

address = "United States",

note = "2013 21st Signal Processing and Communications Applications Conference , SIU ; Conference date: 24-04-2013 Through 26-04-2013",

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T1 - FPGA implementation of a second-order convolutive blind signal separation algorithm

AU - Kasap, Server

AU - Redif, Soydan

PY - 2013/6/13

Y1 - 2013/6/13

N2 - 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.

AB - 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.

KW - Second-Order Sequential Best Rotation algorithm

KW - Parallel Jacobi Method

KW - • Field-Programmable Gate Array (FPGA)

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84880907051&partnerID=MN8TOARS

U2 - 10.1109/SIU.2013.6531530

DO - 10.1109/SIU.2013.6531530

M3 - Conference proceeding

SN - 978-1-4673-5562-9

BT - 2013 21st Signal Processing and Communications Applications Conference, SIU 2013

PB - IEEE

T2 - 2013 21st Signal Processing and Communications Applications Conference

Y2 - 24 April 2013 through 26 April 2013

ER -

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

Abstract

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Keywords

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