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

Oleh:

Kim, Chang-Min ; Park, Hyung-Min ; Kim, Taesu ; Choi, Yoon-Kyung ; Lee, Soo-Young

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 14 no. 5 (2003), page 1038-1046.
Topik: SEPARATION; FPGA implementation; ICA algorithm; blind signal separation; noise canceling

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.9 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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.

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