Classification of modality in self mixing signals using artificial intelligence techniques
Suleman Ata (18126)
creator
text
Islamabad
(unpublished)
2018
monographic
xi, 54 p. : ill. ; 30 cm. +CD
Submitted in fulfillment of the requirements for the degree of Master of Master of Sciences in Electrical Engineering to the Faculty of Engineering and Applied Sciences.
Includes bibliographical references
Thesis supervisor: Dr. Tassadaq Hussain
Thesis (MS)--Riphah International University, 2018
English
Artificial intelligence
Self making signals
Machine learning algorithms
Self mixing interferometry
Neural networks
FEAS
001.535 SUL