• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar

ALLSIGNALPROCESSING.COM

Learn signal processing online

  • Home
  • Courses
  • Courses
  • About
  • FAQ
  • My Account
  • Blog
  • News
  • Contact
  • Login
  • Logout
  • Get All Access

Parametric vs. Nonparametric Spectrum Estimation

August 10, 2019 by

In this lesson you will learn about the two primary approaches to estimating the power spectrum. The parametric approach assumes the data is generated according to a model, while the nonparametric approach makes no assumptions about the origin of the data. Understanding the advantages of each approach will enable you to choose the appropriate method for your spectrum estimation application.

Click here to purchase immediate access to this and every other (more than 120) lesson!

Primary Sidebar

Courses

  • Foundations

  • Time Domain LTI Systems

  • Fourier Series and Transforms

  • Sampling and Reconstruction

  • The DFT and Applications

  • The Z-Transform

  • Intro to Filter Design

  • IIR Filter Design

  • FIR Filter Design

  • Random Signal Characterization

  • Basis Representations of Signals

  • Estimation of Power Spectra and Coherence

  • Introduction to Signal Estimation and Detection Theory

  • MMSE Filtering and Least-Squares Problems

Copyright © 2023 ALLSIGNALPROCESSING.COM | Site Design by 3200 Creative

  • Terms of Service
  • Privacy Policy
  • Contact