Classification of modality in self mixing signals using artificial intelligence techniques
Material type:
TextPublication details: Islamabad (unpublished) 2018Description: xi, 54 p. : ill. ; 30 cm. +CDSubject(s): DDC classification: - 001.535 SUL
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis
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Main Campus | 001.535 SUL (Browse shelf(Opens below)) | 1 | NOT for LOAN | 50099 |
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
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