Title :
THz signal denoising via redundant representation
Author :
Zhu, S.M. ; Ng, B.W.-H. ; Fischer, B.M. ; Abbott, D.
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Adelaide, Adelaide, SA, Australia
Abstract :
Denoising is widely used in THz signal processing. In recent years, there have been many papers about applying wavelet-based denoising techniques to achieve clean THz signal. Traditionally, denoising by shrinkage on orthogonal, decimated wavelet transforms satisfies most THz applications with dramatic improvements in SNR for TDS pulses. In this paper, we apply the shrinkage technique to non-orthogonal, redundant THz signal representations to TDS pulses and it is shown that this scheme is capable of even an even greater SNR gains.
Keywords :
signal denoising; signal representation; terahertz waves; TDS pulse; THz signal denoising; THz signal processing; decimated wavelet transforms; signal representation; wavelet-based denoising technique; Additive noise; Biomedical engineering; Discrete Fourier transforms; Discrete wavelet transforms; Filter bank; Fourier transforms; Frequency; Noise reduction; Signal denoising; Wavelet coefficients;
Conference_Titel :
Infrared, Millimeter, and Terahertz Waves, 2009. IRMMW-THz 2009. 34th International Conference on
Conference_Location :
Busan
Print_ISBN :
978-1-4244-5416-7
Electronic_ISBN :
978-1-4244-5417-4
DOI :
10.1109/ICIMW.2009.5325609
