Apodisation, denoising and system identification techniques for THz transients in the wavelet domain
This work describes the use of a quadratic programming optimization procedure for designing asymmetric apodization windows to de-noise THz transient interferograms and compares these results to those obtained when wavelet signal processing algorithms are adopted. A systems identification technique i...
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| creator | Hadjiloucas, S. Walker, G.C. Bowen, J.W. Paiva, H.M. Galvao, R.K.H. Dudley, R. |
| description | This work describes the use of a quadratic programming optimization procedure for designing asymmetric apodization windows to de-noise THz transient interferograms and compares these results to those obtained when wavelet signal processing algorithms are adopted. A systems identification technique in the wavelet domain is also proposed for the estimation of the complex insertion loss function. The proposed techniques can enhance the frequency dependent dynamic range of an experiment and should be of particular interest to the THz imaging and tomography community. Future advances in THz sources and detectors are likely to increase the signal-to-noise ratio of the recorded THz transients and high quality apodization techniques will become more important, and may set the limit on the achievable accuracy of the deduced spectrum. |
| doi_str_mv | 10.1109/ICIMW.2007.4516465 |
| format | Conference Proceeding |
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| identifier | ISSN: 2162-2027 |
| ispartof | 2007 Joint 32nd International Conference on Infrared and Millimeter Waves and the 15th International Conference on Terahertz Electronics, 2007, p.212-213 |
| issn | 2162-2027 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Design optimization far infrared Frequency dependence imaging Insertion loss Noise reduction Quadratic programming radar Signal design signal processing Signal processing algorithms Spectroscopy System identification ultrafast Wavelet domain |
| title | Apodisation, denoising and system identification techniques for THz transients in the wavelet domain |
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