DocumentCode
2190780
Title
Stable Noise Subspace Estimation Algorithm Suitable for VLSI Implementation
Author
Yang, Lu ; Attallah, Samir ; Mathew, George
Author_Institution
Dept. of ECE, National University of Singapore, Singapore, 117576
fYear
2007
fDate
17-19 Oct. 2007
Firstpage
579
Lastpage
583
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.
Keywords
Adaptive signal processing; Algorithm design and analysis; Analytical models; Computational complexity; Computational efficiency; Computational modeling; Costs; Performance analysis; Signal processing algorithms; Very large scale integration; Adaptive signal processing; VLSI implementation; noise subspace estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems, 2007 IEEE Workshop on
Conference_Location
Shanghai, China
ISSN
1520-6130
Print_ISBN
978-1-4244-1222-8
Electronic_ISBN
1520-6130
Type
conf
DOI
10.1109/SIPS.2007.4387613
Filename
4387613
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