Please use this identifier to cite or link to this item:
https://doi.org/10.1109/SIPS.2007.4387613
| Title: | Stable noise subspace estimation algorithm suitable for VLSI implementation | Authors: | Yang, L. Attallah, S. Mathew, G. |
Keywords: | Adaptive signal processing Noise subspace estimation VLSI implementation |
Issue Date: | 2007 | Citation: | Yang, L., Attallah, S., Mathew, G. (2007). Stable noise subspace estimation algorithm suitable for VLSI implementation. IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation : 579-583. ScholarBank@NUS Repository. https://doi.org/10.1109/SIPS.2007.4387613 | Abstract: | The aim of this paper is twofold: 1) to stabilize a fast adaptive noise subspace algorithm, which was proposed earlier in the literature under the name of FRANS algorithm; and 2) to present a low computational cost version that is free from any square root and division operations, which is very suitable for VLSI implementation. A theoretical mean-square analysis and simulation results are also given in order to assess the performance of this algorithm. © 2007 IEEE. | Source Title: | IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation | URI: | http://scholarbank.nus.edu.sg/handle/10635/71857 | ISBN: | 1424412226 | ISSN: | 15206130 | DOI: | 10.1109/SIPS.2007.4387613 |
| Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
SCOPUSTM
Citations
2
checked on Nov 23, 2020
Page view(s)
44
checked on Nov 30, 2020
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.