1973•The Journal of the Acoustical Society of AmericaRequires access

Computing Power Spectra with FFT

Bruce P. Bogert

Open publisher page 0 citations

Abstract

This is a tutorial paper describing the fast Fourier transform and practical aspects of the digital computation of power density spectra using FFT. Discussed first is the relation of the discrete Fourier transform (DFT) to the Fourier integral. Then we describe an FFT algorithm, showing its computational saving over the naive calculation of the DFT. We then consider the estimation of the power density spectrum, describing briefly the indirect method (used before FFT) and then the direct method of power spectrum estimation via the periodgram estimate now commonly used. We continue with a discussion of bandwidth and stability of spectral estimates and how these properties are related to the time and frequency windows used to smooth the periodgram estimates. Finally, we consider briefly the estimation of cross spectra and coherency and discuss some of their properties.

About this research paper

What this paper is about

This is a tutorial paper describing the fast Fourier transform and practical aspects of the digital computation of power density spectra using FFT. Discussed first is the relation of the discrete Fourier transform (DFT) to the Fourier integral. Then we describe an FFT algorithm, showing its computational saving over the naive calculation of the DFT. We then consider the estimation of the power density spectrum, describing briefly the indirect method (used before FFT) and then the direct method of power spectrum estimation via the periodgram estimate now commonly used. We continue with a discussion of bandwidth and stability of spectral estimates and how these properties are related to the time and frequency windows used to smooth the periodgram estimates. Finally, we consider briefly the estimation of cross spectra and coherency and discuss some of their properties.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This is a tutorial paper describing the fast Fourier transform and practical aspects of the digital computation of power density spectra using FFT. Discussed first is the relation of the discrete Fourier transform (DFT) to the Fourier integral. Then we describe an FFT algorithm, showing its computational saving over the naive calculation of the DFT. We then consider the estimation of the power density spectrum, describing briefly the indirect method (used before FFT) and then the direct method of power spectrum estimation via the periodgram estimate now commonly used. We continue with a discussion of bandwidth and stability of spectral estimates and how these properties are related to the time and frequency windows used to smooth the periodgram estimates. Finally, we consider briefly the estimation of cross spectra and coherency and discuss some of their properties.

Key concepts: Fast Fourier transform, Spectral density, Split-radix FFT algorithm, Computation, Discrete Fourier transform (general), Spectral density estimation, Bandwidth (computing), Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Computing Power Spectra with FFT — Research Paper | ScholarLens