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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wei-Chung Huang Shao-Hang Hung Jen-Feng Chung Meng-Hsiu Chang Lan-Da Van Chin-Teng Lin |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu (Wei-Chung Huang; Shao-Hang Hung; Jen-Feng Chung; Meng-Hsiu Chang; Chin-Teng Lin) || Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu (Lan-Da Van) |
| Abstract | Blind source separation of independent sources from their mixtures is a common problem for multi-sensor applications in real world, for example, speech or biomedical signal processing. This paper presents an independent component analysis (ICA) method with information maximization (Infomax) update applied into 4-channel one-line EEG signal separation. This can be implemented on FPGA with a fixed-point number representation, and then the separated signals are transmitted via Bluetooth. As experimental results, the proposed design is faster 56 times than soft performance, and the correlation coefficients at least 80% with the absolute value are compared with off-line processing results. Finally, live demonstration is shown in the DE2 FPGA board, and the design is consisted of 16,605 logic elements. |
| Starting Page | 65 |
| Ending Page | 68 |
| File Size | 300466 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424428786 |
| DOI | 10.1109/BIOCAS.2008.4696875 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-11-20 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Source separation Bluetooth ICA Independent component analysis Electroencephalography Blind source separation information maximization multi-sensor Signal processing algorithms fixed-point Signal processing Hardware Speech processing blind source separation Field programmable gate arrays Biomedical signal processing biomedical signal |
| Content Type | Text |
| Resource Type | Article |
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