Time Series, Health & Evidence Synthesis · Time Series & Forecasting

Time series analysis in the frequency domain: rigorous approach

Public introduction · full guide in Eikos

Introduction

What this guide covers

An exhaustive mathematical decomposition of stationary processes into their cyclic harmonic components through Fourier analysis and Cramér's spectral theory.

Overview

Topics covered

  • Introduction
  • The Frequency Domain in Time Series
  • Introduction and Fundamentals of the Frequency Domain
  • 1.1 Temporal-Frequency Duality
  • 1.2 Determined Harmonic Analysis
  • The Spectral Representation Theorem

Related concepts

Main connections

  • Calculus & differentiation
  • Variance & standard deviation
  • Time series & ARIMA
  • Mean & expected value
  • Non-parametric tests
  • Measure theory & Lebesgue integration

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

Xt=Acos(2πνt+ϕ)=U1cos(2πνt)+U2sin(2πνt)
View LaTeX sourceX_t = A \cos(2\pi \nu t + \phi) = U_1 \cos(2\pi \nu t) + U_2 \sin(2\pi \nu t)