FPGA Implementation of ICA Algorithm for Blind Signal Separation and Active Noise Canceling

An field programmable gate array (FPGA) implementation of independent component analysis (ICA) algorithm is reported for blind signal separation (BSS) and adaptive noise canceling (ANC) in real time. In order to provide enormous computing power for ICA-based algorithms with multipath reverberation, a special digital processor is designed and implemented in FPGA. The chip design fully utilizes modular concept and several chips may be put together for complex applications with a large number of noise sources. Experimental results with a fabricated test board are reported for ANC only, BSS only, and simultaneous ANC/BSS, which demonstrates successful speech enhancement in real environments in real time.
Publisher
IEEE-Inst Electrical Electronics Engineers Inc
Issue Date
2003-09
Language
ENG
Citation

IEEE TRANSACTIONS ON NEURAL NETWORKS, v.14, no.5, pp.1038 - 1046

ISSN
1045-9227
URI
http://hdl.handle.net/10203/10209
Appears in Collection
EE-Journal Papers(저널논문)
  • Hit : 159
  • Download : 0
  • Cited 0 times in thomson ci
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡClick to seewebofscience_button
⊙ Cited 21 items in WoSClick to see citing articles inrecords_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0