Pisarenko harmonic decomposition

ID: pisarenko-harmonic-decomposition

Pisarenko harmonic decomposition is a method used in signal processing and time series analysis to decompose a signal or a dataset into its harmonic components. This technique is particularly useful for analyzing periodic signals or regular patterns in data. The core idea behind Pisarenko harmonic decomposition is to represent the signal as a sum of harmonics, which are sine and cosine functions at various frequencies.

New to topics? Read the docs here!