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Spectrum analysis is a significant process for many measurement applications which is usually implemented by fast Fourier transform (FFT). Nevertheless, FFT is not suitable to deal with big data because of extra burden of computation. Moreover, FFT fails to provide enough accuracy for signals with a very sparse and broadband spectral distribution. In this letter, we propose a combination approach...
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