Making sense of the periodogram

1. How do you explain a periodogram?
2. What is periodogram in signal processing?
3. What's the difference between periodogram and spectrogram?
4. What are the units of a periodogram?

How do you explain a periodogram?

A periodogram is used to identify the dominant periods (or frequencies) of a time series. This can be a helpful tool for identifying the dominant cyclical behavior in a series, particularly when the cycles are not related to the commonly encountered monthly or quarterly seasonality.

What is periodogram in signal processing?

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 (see spectral estimation).

What's the difference between periodogram and spectrogram?

For a Periodogram , returns the computed power at each frequency as a Vector. For a Spectrogram , returns the computed power at each frequency and time bin as a Matrix. Dimensions are frequency × time.

What are the units of a periodogram?

[Pxx,f] = periodogram(x,window,nfft,fs) uses the sampling frequency fs specified as an integer in hertz (Hz) to compute the PSD vector ( Pxx ) and the corresponding vector of frequencies (f). In this case, the units for the frequency vector are in Hz.