By Topic

A method for improving the measurement data resolution of time-resolved spectroscopy (TRS) using adaptive pulse compression filter

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Su Chang ; Dept. of Electr. Eng., Tsinghua Univ., Beijing, China ; Lin Fang ; Ding Haishu ; B. Chance

Temporal and image resolution are the key problems in retrieving optical properties and in imaging of structural or functional changes within tissue from a set of received signals using a time-resolved spectroscopy (TRS) system. An adaptive light pulse compression filter applied to the signal processing of a TRS system is introduced, which was based on the analysis of temporal characteristics of near infrared spectroscopy (NIRS) signal. Moreover, an improved LMS algorithm having fast tracking ability and permitting large dynamic range input is also presented in this paper. The results of computer simulation, show that the filter has good tracing compression performance for diffusely reflected or transmitted signal received from the surface of the tissue and the temporal or image resolution of TRS system can be improved significantly

Published in:

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE  (Volume:2 )

Date of Conference:

29 Oct-1 Nov 1998