What question did this study set out to answer?

To develop an efficient spectral analysis method using the fast Fourier transform to estimate power spectra from segmented time-series data.

June 1, 1967IEEE Transactions on Audio and Electroacoustics

The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms

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To develop an efficient spectral analysis method using the fast Fourier transform to estimate power spectra from segmented time-series data.
Partitioned continuous time-series records into shorter individual sections.
Applied the fast Fourier transform to compute modified periodograms for each section and averaged them across time.
Reduced the total number of computations and core storage required for spectral estimation.
Enabled convenient and effective application in nonstationarity testing.

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Implication

Methodological analysis demonstrates efficient power spectrum estimation via time-averaged modified periodograms, indicating reduced computational load and memory requirements.

Cite This Study

P. D. Welch (1967) studied this question.

synapsesocial.com/papers/69d6caf8733a2b54c8aa8403 https://doi.org/10.1109/tau.1967.1161901

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Implication

Methodological analysis demonstrates efficient power spectrum estimation via time-averaged modified periodograms, indicating reduced computational load and memory requirements.

The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms

Key Points

Discussion

Implication

Cite This Study

The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms

Key Points

Discussion

Implication

Cite This Study

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