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
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;
Conference_Titel :
Signal Processing Systems, 2007 IEEE Workshop on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-1222-8
Electronic_ISBN :
1520-6130
DOI :
10.1109/SIPS.2007.4387613
