Abstract
A common assumption in studies on Gabor based signal detection is that the Gabor representation of the signal is sparse, in the sense that the vector of Gabor coefficients contains only a few nonzero entries at known locations. Under this assumption the problem of detecting a Gabor transient becomes the problem of detecting a subspace signal in background noise. Extending the theory of matched subspace detection to complex signals, we derive matched subspace detectors for this problem and discuss their optimality. We investigate the sensitivity of matched subspace detectors to mismatch in the model parameters. Motivated by the sensitivity analysis, we develop robust matched subspace detectors and analyze their performance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media New York
About this chapter
Cite this chapter
Zeira, A., Friedlander, B. (1998). Gabor representation and signal detection. In: Feichtinger, H.G., Strohmer, T. (eds) Gabor Analysis and Algorithms. Applied and Numerical Harmonic Analysis. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-2016-9_12
Download citation
DOI: https://doi.org/10.1007/978-1-4612-2016-9_12
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-1-4612-7382-0
Online ISBN: 978-1-4612-2016-9
eBook Packages: Springer Book Archive