IMPROVING EXTRACTION OF IMPULSE RESPONSE FUNCTIONS USING STATIONARY WAVELET SHRINKAGE IN TERAHERTZ REFLECTION IMAGING

摘要

In terahertz imaging, deconvolution is often performed to extract the impulse responsenfunction of the sample of interest. The inverse filtering process amplifies the noise andnin this paper we investigate how we can suppress the noise without over-smoothing andnlosing useful information. We propose a robust deconvolution process utilizing stationarynwavelet shrinkage theory which shows significant improvement over other popularnmethods such as double Gaussian filtering. We demonstrate the success of our approachnon experimental data of water and isopropanol