Stable noise subspace estimation algorithm suitable for VLSI implementation

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

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