Subspace and wavelet-packet algorithms for de-noising and classifying broadband THz transients

Full text not archived in this repository.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Fischer, B.M., Yin, X.X., Ng, B.W.H., Abbott, D., Galvao, R.K.H., Paiva, H.M., Hadjiloucas, S. orcid id iconORCID: https://orcid.org/0000-0003-2380-6114, Walker, G.C. and Bowen, J.W. (2008) Subspace and wavelet-packet algorithms for de-noising and classifying broadband THz transients. In: 33rd International Conference on Infrared, Millimeter and Terahertz Waves, Pasadena, USA. doi: 10.1109/ICIMW.2008.4665758

Abstract/Summary

The results from a range of different signal processing schemes used for the further processing of THz transients are contrasted. The performance of different classifiers after adopting these schemes are also discussed.

Altmetric Badge

Item Type Conference or Workshop Item (Paper)
URI https://reading-clone.eprints-hosting.org/id/eprint/14671
Identification Number/DOI 10.1109/ICIMW.2008.4665758
Divisions Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Uncontrolled Keywords optical information processing, signal classification, signal denoising , broadband THz transients, classifiers, de-noising, subspace algorithms, wavelet-packet algorithms
Publisher IEEE
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar