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Everything about Periodogram

Estimate of the spectral density of a signal

In signal processing, a periodogram is an estimate of the spectral density of a signal. The term was coined by Arthur Schuster in 1898. Today, the periodogram is a component of more sophisticated methods. It is the most common tool for examining the amplitude vs frequency characteristics of FIR filters and window functions. FFT spectrum analyzers are also implemented as a time-sequence of periodograms. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: PeriodogramA 5-minute orientation
  2. Skim a recent paper: Estimation of a Spectral Correlation Function Using a Time-Smoothing Cyclic Periodogram and FFT Interpolation—2N-FFT AlgorithmInfluential work since 2022
  3. Pick up a classic book: A course in Fourier's analysis and periodogram analysis for the mathematical laboratoryThe most-reprinted book on the subject
  4. Read the landmark paper: The generalised Lomb-Scargle periodogramCited 1,637 times
  5. Go sideways: Spectral density estimationA closely related topic
  6. Go sideways: Spectral densityA closely related topic

📖 Definitions

Noun A graph used in the harmonic analysis of spectra, time series etc.

🗂️ The subject at a glance

  1. Definition
  2. Computation
  3. Applications

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics