Pre-Processing of Signals Observed from Laser Diode Self-mixing Intereferometries using Neural NetworksFaculty of Informatics - Papers (Archive)
AbstractThis paper presents a novel neural network signal interpolation technique in order to eliminate the noise and disturbance associated with the self-mixing signal observed from optical feedback self- mixing interferometry (OFSMI). The proposed technique aims to improve the accuracy for displacement and moving track measurement of a target. The performance of the proposed approach is evaluated by both simulation and experimentation, with simulation revealing a measuring accuracy of A/25 for weak feedback and J20 for moderate feed back.
Citation InformationL. Wei, Joe F Chicharo, Yanguang Yu and Jiangtao Xi. "Pre-Processing of Signals Observed from Laser Diode Self-mixing Intereferometries using Neural Networks" (2007)
Available at: http://works.bepress.com/jxi/32/