摘要

Signal reconstruction consist on finding real shape of signal on the basis on its distorted image. In metrology signal distortion is caused by measuring instrument. The measured spectrum is a convolution result of real spectrum and spectrum of the Instrumental Line Shape (ILS). In this article we propose taking advantage of additional knowledge to improve reconstruction. The novelty is using appropriately scaled second derivative of measured spectrum as a initial value of iterative process. Modification of starting point in iterative procedures reduced the number of iteration necessary to signal reconstruction. Improvement of line shape reconstruction particularly of the height of lines is obtained. (Using second derivative of measured spectrum with iterative algorithm of spectrum reconstruction in spectroscopy)

  • 出版日期2010