Frequency Range Optimization for Continuous Wave Terahertz Imaging

With shorter wavelengths than microwaves and greater penetration depth infrared light, waves in the terahertz spectrum offer unique material testing opportunities. Terahertz technology offers non-invasive non-destructive form of spectroscopy imaging. The most used systems for imaging are time-domain systems. However, frequency domain could excellent resolution be more suitable biomedical applications. based on is slow, suffers from tuning errors. A novel one-dimensional principle presented this paper. In addition, range optimization convolutional neural networks occlusion sensitivity utilized optimization. Frequency to determine optimal data acquisition. or bandwidth should wide enough effective phase detection, at intersection several spectral footprints observed medium. estimated using proposed algorithm a network algorithm. selects sensitive band THz automatically, enables very fast acquisitions object inspection classification.