Iterative Gram-Schmidt orthonormalization for efficient parameter estimation

Document Type

Conference Proceeding

Publication Date

1-1-1998

Abstract

We present an efficient method for estimating nonlinearly entered parameters of a linear signal model corrupted by additive noise. The method uses the Gram-Schmidt orthonormalization procedure in combination with a number of iterations to de-bias and re-balance the coupling between non-orthogonal signal components efficiently. Projection interpretation is provided as rationale of the proposed iterative algorithm. Computer simulations are conducted to show the effectiveness of the algorithm. © 1998 IEEE.

Identifier

0031625090 (Scopus)

ISBN

[0780344286, 9780780344280]

Publication Title

ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings

External Full Text Location

https://doi.org/10.1109/ICASSP.1998.681653

ISSN

15206149

First Page

2477

Last Page

2480

Volume

4

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