DocumentCode
3476095
Title
FPGA implementation of ICA algorithm for adaptive noise canceling
Author
Bai, Handong ; Zhou, Zhiguo ; He, Jing ; Liu, Zhiwen
Author_Institution
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
fYear
2011
fDate
27-30 Sept. 2011
Firstpage
452
Lastpage
456
Abstract
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.
Keywords
adaptive filters; blind source separation; field programmable gate arrays; independent component analysis; FPGA; ICA algorithm; Simulink/System Generator; adaptive filter; adaptive noise canceling; independent component analysis; Field programmable gate arrays; Generators; Adaptive noise canceling (ANC); System generator; blind signal separation (BSS); independent component analysis (ICA);
fLanguage
English
Publisher
ieee
Conference_Titel
Awareness Science and Technology (iCAST), 2011 3rd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4577-0887-9
Type
conf
DOI
10.1109/ICAwST.2011.6163193
Filename
6163193
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