Title Partial Forward-Backward Averaging for Enhanced Frequency Estimation of Real X-texture Modes
Authors Joakim Axmon, Maria Sandsten, Leif Sörnmo
Alternative Location http://dx.doi.org/10.1109/T..., Restricted Access
Publication IEEE Trans. on Signal Processing
Year 2005
Volume 53
Issue 7
Pages 2550 - 2562
Document type Article
Status Published
Quality controlled Yes
Language eng
Publisher IEEE
Abstract English In this paper, enhancement of the signal root estimation of a particular kind of real-valued two-dimensional (2-D) sinusoidal modes is considered. To its constitution, each mode corresponds to the superposition of two real-valued plane waves in a particular symmetry. The concept of partial forward-backward averaging, which is applicable for modes that are undamped in at least one dimension, is introduced as a means for improving the signal subspace estimate from which the signal roots are estimated. The consequences of real-valued signals for the signal root estimates are discussed in detail, and it is shown that by applying partial forward-backward averaging, the mean square errors of the estimates, and the breakdown threshold signal-to-noise ratio (SNR), are significantly reduced, compared with forward-only or conventional forward-backward (when applicable) usage of the sampled signals. The practical implication is highlighted by applying the proposed technique to modal analysis of multichannel impact responses from a tree trunk.
ISBN/ISSN/Other ISSN: 1053-587X

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