title: FPGA implementation of ICA algorithm for blind signal separation and adaptive noise canceling.
abstract: 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.
authors.affiliation: Dept. of Electr. Eng. and Comput. Sci., Korea Adv. Inst. of Sci. and Technol., Daejeon, South Korea.
authors.forename: Chang-Min
authors.initials: CM
authors.lastname: Kim
authors.forename: Hyung-Min
authors.initials: HM
authors.lastname: Park
authors.forename: Taesu
authors.initials: T
authors.lastname: Kim
authors.forename: Yoon-Kyung
authors.initials: YK
authors.lastname: Choi
authors.forename: Soo-Young
authors.initials: SY
authors.lastname: Lee