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Orientador(es)
Resumo(s)
In this paper we propose a method based on
compressed sensing (CS) for estimating the spectrum of a signal
written as a linear combination of a small number of sinusoids.
In the case of finite-length signals, the Fourier coefficients are
not exactly sparse due to the leakage effect if the frequency is
not a multiple of the fundamental frequency; To overcome this
problem our algorithm transform the DFT basis into a frame
with a larger number of vectors, by inserting columns between
some of the initial ones. The algorithm applies Basis Pursuit
(BP) to estimate the sinusoids amplitude, phase and frequency.
Descrição
Palavras-chave
Basis Pursuit compressive sensing spectral estimation sparse representations
Contexto Educativo
Citação
Editora
S. I. Ao and Craig Douglas and W. S. Grundfest and Jon Burgstone