Figures of merit of windows for power density spectrum estimation with the DFT
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The figures of merit of windows for harmonic analysis proposed by Harris [1] are discussed, and other figures of merit are investigated. An interesting result is that for the estimation of the power density spectrum from a limited amount of data, the only relevant characteristic of a window is the spectral sidelobe level.
[1] Fred Harris. On Overlapped Fast Fourier Transforms , 1978 .
[2] P. Welch. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .
[3] F. Harris. On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.