TY - GEN
T1 - FPGA implementation of ICA algorithm for adaptive noise canceling
AU - Bai, Handong
AU - Zhou, Zhiguo
AU - He, Jing
AU - Liu, Zhiwen
PY - 2011
Y1 - 2011
N2 - This paper presents a design approach of adaptive filter based on independent component analysis (ICA) algorithm for FPGA implementation. The design utilizes modular concept, and several modules can be put together for complex applications. Simulink/System Generator is used for FPGA hardware design based on ICA algorithm. The ICA-based filter is successful for removing noise component from audio signal.
AB - This paper presents a design approach of adaptive filter based on independent component analysis (ICA) algorithm for FPGA implementation. The design utilizes modular concept, and several modules can be put together for complex applications. Simulink/System Generator is used for FPGA hardware design based on ICA algorithm. The ICA-based filter is successful for removing noise component from audio signal.
KW - Adaptive noise canceling (ANC)
KW - System generator
KW - blind signal separation (BSS)
KW - independent component analysis (ICA)
UR - http://www.scopus.com/inward/record.url?scp=84863340071&partnerID=8YFLogxK
U2 - 10.1109/ICAwST.2011.6163193
DO - 10.1109/ICAwST.2011.6163193
M3 - Conference contribution
AN - SCOPUS:84863340071
SN - 9781457708879
T3 - Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011
SP - 452
EP - 456
BT - Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011
T2 - 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011
Y2 - 27 September 2011 through 30 September 2011
ER -