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
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);
Conference_Titel :
Awareness Science and Technology (iCAST), 2011 3rd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-0887-9
DOI :
10.1109/ICAwST.2011.6163193
