Implementation of Fast-ICA: A Performance Based Comparison Between Floating Point and Fixed Point DSP Platform
By: Dinesh Patil, Niva Das and Aurobinda Routray
Open Access
|Sep 2011References
- Cichocki, A., Kasprzak, W., Amari, S. (1996). Neural network approach to blind separation and enhancement of images. In, Vol. 1, 579-582.
- Makeig, S., Bell, A., Jung, T.-P., Sejnowski, T. J. (1996). Independent component analysis in electroencephalographic data. In Mozer, M. et al. (eds.)Cambridge, MA: MIT Press, 145-151.
- Weinstein, E., Feder, M., Oppenheim, A. V. (1993). Multichannel separation by decorrelation., 1, 405-413.
- Karhunen, J., Hyvarinen, A., Vigario, R., Hurri, J., Oja, E. (1997). Application of neural blind separation to signal and image processing. InMunich, Germany, 131-134.
- Common, P. (1994). Independent component analysis, A new concept?, 36, 287-314.
- Hyvarinen, A., Oja, E. (1997). A fast fixed point algorithm for independent component analysis., 9 (7), 1483-1492.
- Charoensak, C., Sattar, F. (2005). A single-chip FPGA design for real-time ICA-based blind source separation algorithm. In, Vol. 6, 5822-5825.
- Harte, N., Hurley, N., Fearon, C., Rickard, S. (2005). Towards a hardware realization of time frequency source separation of speech. In, Vol. 1, 71-74.
- Shyu, K., Li, M. (2006). FPGA Implementation of FastICA based on Floating point arithmetic design for real-time blind source separation. In, 2785-2792.
- Texas Instruments Inc. (2001, revised 2005).(manual, sprs1861). Houston, Texas.
- Texas Instruments Inc. (2005).(manual, sprs146n). Houston, Texas.
- Texas Instruments Inc. (2000).(manual, spru328b). Houston, Texas.
- Ivancescu, G. (2007).Retrieved August 12, 2011, from
- Amari, S., Cichocki, A., Yang, H. (1995). Recurrent neural networks for blind separation of sources. InLas Vegas, NV, 37-42.
- Yates, R. (2009).Retrieved August 12, 2011, from
- Lauha, J. (2006).Retrieved August 12, 2011, from
- Ingole, P. V., Sapkal, A. K., Sarate, G. G., Hirekhan, S. R. (2011). Implementation of signal generator (DSP) using TMS 320C6713 DSK., 1 (2), 95-98.
- Krishnaveni, V., Jayaraman, S., Arvind, S., Hariharasudhan, V., Ramdoss, K. (2006). Automatic identification and removal of ocular artifacts from EEG using wavelet transform., 6, 45-57.
DOI: https://doi.org/10.2478/v10048-011-0022-1 | Journal eISSN: 1335-8871
Language: English
Page range: 118 - 124
Published on: Sep 21, 2011
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
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© 2011 Dinesh Patil, Niva Das, Aurobinda Routray, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons License.