Signal -To-Noise Ratio Estimation In Scanning Electron Microscope Imaging System

Sim, Kok Swee (2006) Signal -To-Noise Ratio Estimation In Scanning Electron Microscope Imaging System. PhD thesis, Multimedia University.

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Abstract

Two new methods, the Autoregressive(AR) model and the Mixed Lagrange Time Delay Estimation Autoregressive (MLTDEAR) model, are developed to estimate the Signal-to-Noise Ratio (SNR) from a single image for the Scanning Electron Microscope (SEM) Imaging System application.

Item Type: Thesis (PhD)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 23 Aug 2010 00:59
Last Modified: 23 Aug 2010 00:59
URI: http://shdl.mmu.edu.my/id/eprint/1174

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