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• W28796741 abstract "This thesis seeks to detect transient disturbances in power system signals in a sparse framework. To this end, an overcomplete wavelet packet dictionary and damped sinusoid dictionary are considered, and for each dictionary Matching Pursuit is compared with Basis Pursuit. Previous work in developing waveform dictionary theory and sparse representation is reviewed, and simulations are run on a test signal in both noisy and noiseless environments. The solutions are viewed as time-frequency plane tilings to compare the accuracy and sparsity of these algorithms in properly resolving optimal representations of the disturbances. The advantages and disadvantages of each combination of dictionary and algorithm are presented." @default.
• W28796741 created "2016-06-24" @default.
• W28796741 creator A5000168334 @default.
• W28796741 date "2009-01-01" @default.
• W28796741 modified "2023-09-27" @default.
• W28796741 title "Sparse Representations in Power Systems Signals" @default.
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