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Adaptive Decomposition in Electromagnetics Student: Ngee Seng Phua Supervisor: Nick Shuley Category: Engineering Thesis Project - Signal Processing In recent years, there has been a growing interest in adaptive decomposition of signals by using dictionary, which consists of a collection of elements. Since then, many decomposition techniques such as Method of Frames, Best Orthogonal Basis, Basis Pursuits and Matching Pursuits have been developed. In this thesis, the Matching Pursuits algorithm will be implemented and analyse in the MATLAB environment. Using a Fourier dictionary in this thesis, we are able to illustrate the resultant signals from three different types of input signals. The simulation results clearly show that this algorithm has the ability to closely represent the input signals, with the usage of more elements from the dictionary.
Thesis Document (PDF)
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