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#### Spectrum and spectral density estimation by the Discrete Fourier transform (DFT), including a comprehensive list of window functions and some new at-top windows

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##### Fulltext (public)

395068.pdf

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##### Supplementary Material (public)

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##### Citation

Heinzel, G., Rüdiger, A., & Schilling, R. (2002). Spectrum and spectral density estimation by the Discrete Fourier transform (DFT), including a comprehensive list of window functions and some new at-top windows.

Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-557B-3

##### Abstract

This report tries to give a practical overview about the estimation of power spectra/power spectral densities using the DFT/FFT.
One point that is emphasized is the relationship between estimates of power spectra and power spectral densities which is given by the effective noise bandwidth (ENBW).
Included is a detailed list of common and useful window functions, among them the often neglected flat-top windows.
Special highlights are a procedure to test new programs, a table of comprehensive graphs for each window and the introduction of a whole family of new flat-top windows that feature sidelobe suppression levels of up to -248 dB, as compared with -90 dB of the best flat-top windows available until now.