NDLI: Partial forward-backward averaging for enhanced frequency estimation of real X-texture modes

Content Provider	IEEE Xplore Digital Library
Author	Axmon, J. Hansson, M. Sornmo, L.
Copyright Year	1991
Abstract	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.
Sponsorship	IEEE Signal Processing Society
Starting Page	2550
Ending Page	2562
Page Count	13
File Size	584167
File Format	PDF
ISSN	1053587X
Volume Number	53
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency estimation Signal processing algorithms Signal mapping Filters Two dimensional displays Constitution Modal analysis Yield estimation Interpolation Degradation X-texture mode ESPRIT modal analysis signal subspace enhancement two-dimensional frequency estimation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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