Products
  • Wolfram|One

    The definitive Wolfram Language and notebook experience

  • Mathematica

    The original technical computing environment

  • Notebook Assistant + LLM Kit

    All-in-one AI assistance for your Wolfram experience

  • Compute Services
  • System Modeler
  • Finance Platform
  • Wolfram|Alpha Notebook Edition
  • Application Server
  • Enterprise Private Cloud
  • Wolfram Engine
  • Wolfram Player
  • Wolfram Cloud App
  • Wolfram Player App

More mobile apps

Core Technologies of Wolfram Products

  • Wolfram Language
  • Computable Data
  • Wolfram Notebooks
  • AI & Linguistic Understanding

Deployment Options

  • Wolfram Cloud
  • wolframscript
  • Wolfram Engine Community Edition
  • Wolfram LLM API
  • WSTPServer
  • Wolfram|Alpha APIs

From the Community

  • Function Repository
  • Community Paclet Repository
  • Example Repository
  • Neural Net Repository
  • Prompt Repository
  • Wolfram Demonstrations
  • Data Repository
  • Group & Organizational Licensing
  • All Products
Consulting & Solutions

We deliver solutions for the AI era—combining symbolic computation, data-driven insights and deep technical expertise

  • Data & Computational Intelligence
  • Model-Based Design
  • Algorithm Development
  • Wolfram|Alpha for Business
  • Blockchain Technology
  • Education Technology
  • Quantum Computation

Wolfram Consulting

Wolfram Solutions

  • Data Science
  • Artificial Intelligence
  • Biosciences
  • Healthcare Intelligence
  • Sustainable Energy
  • Control Systems
  • Enterprise Wolfram|Alpha
  • Blockchain Labs

More Wolfram Solutions

Wolfram Solutions For Education

  • Research Universities
  • Colleges & Teaching Universities
  • Junior & Community Colleges
  • High Schools
  • Educational Technology
  • Computer-Based Math

More Solutions for Education

  • Contact Us
Learning & Support

Get Started

  • Wolfram Language Introduction
  • Fast Intro for Programmers
  • Fast Intro for Math Students
  • Wolfram Language Documentation

More Learning

  • Highlighted Core Areas
  • Demonstrations
  • YouTube
  • Daily Study Groups
  • Wolfram Schools and Programs
  • Books

Grow Your Skills

  • Wolfram U

    Courses in computing, science, life and more

  • Community

    Learn, solve problems and share ideas.

  • Blog

    News, views and insights from Wolfram

  • Resources for

    Software Developers

Tech Support

  • Contact Us
  • Support FAQs
  • Support FAQs
  • Contact Us
Company
  • About Wolfram
  • Career Center
  • All Sites & Resources
  • Connect & Follow
  • Contact Us

Work with Us

  • Student Ambassador Initiative
  • Wolfram for Startups
  • Student Opportunities
  • Jobs Using Wolfram Language

Educational Programs for Adults

  • Summer School
  • Winter School

Educational Programs for Youth

  • Middle School Camp
  • High School Research Program
  • Computational Adventures

Read

  • Stephen Wolfram's Writings
  • Wolfram Blog
  • Wolfram Tech | Books
  • Wolfram Media
  • Complex Systems

Educational Resources

  • Wolfram MathWorld
  • Wolfram in STEM/STEAM
  • Wolfram Challenges
  • Wolfram Problem Generator

Wolfram Initiatives

  • Wolfram Science
  • Wolfram Foundation
  • History of Mathematics Project

Events

  • Stephen Wolfram Livestreams
  • Online & In-Person Events
  • Contact Us
  • Connect & Follow
Wolfram|Alpha
  • Your Account
  • User Portal
  • Wolfram Cloud
  • Products
    • Wolfram|One
    • Mathematica
    • Notebook Assistant + LLM Kit
    • Compute Services
    • System Modeler
    • Finance Platform
    • Wolfram|Alpha Notebook Edition
    • Application Server
    • Enterprise Private Cloud
    • Wolfram Engine
    • Wolfram Player
    • Wolfram Cloud App
    • Wolfram Player App

    More mobile apps

    • Core Technologies
      • Wolfram Language
      • Computable Data
      • Wolfram Notebooks
      • AI & Linguistic Understanding
    • Deployment Options
      • Wolfram Cloud
      • wolframscript
      • Wolfram Engine Community Edition
      • Wolfram LLM API
      • WSTPServer
      • Wolfram|Alpha APIs
    • From the Community
      • Function Repository
      • Community Paclet Repository
      • Example Repository
      • Neural Net Repository
      • Prompt Repository
      • Wolfram Demonstrations
      • Data Repository
    • Group & Organizational Licensing
    • All Products
  • Consulting & Solutions

    We deliver solutions for the AI era—combining symbolic computation, data-driven insights and deep technical expertise

    WolframConsulting.com

    Wolfram Solutions

    • Data Science
    • Artificial Intelligence
    • Biosciences
    • Healthcare Intelligence
    • Sustainable Energy
    • Control Systems
    • Enterprise Wolfram|Alpha
    • Blockchain Labs

    More Wolfram Solutions

    Wolfram Solutions For Education

    • Research Universities
    • Colleges & Teaching Universities
    • Junior & Community Colleges
    • High Schools
    • Educational Technology
    • Computer-Based Math

    More Solutions for Education

    • Contact Us
  • Learning & Support

    Get Started

    • Wolfram Language Introduction
    • Fast Intro for Programmers
    • Fast Intro for Math Students
    • Wolfram Language Documentation

    Grow Your Skills

    • Wolfram U

      Courses in computing, science, life and more

    • Community

      Learn, solve problems and share ideas.

    • Blog

      News, views and insights from Wolfram

    • Resources for

      Software Developers
    • Tech Support
      • Contact Us
      • Support FAQs
    • More Learning
      • Highlighted Core Areas
      • Demonstrations
      • YouTube
      • Daily Study Groups
      • Wolfram Schools and Programs
      • Books
    • Support FAQs
    • Contact Us
  • Company
    • About Wolfram
    • Career Center
    • All Sites & Resources
    • Connect & Follow
    • Contact Us

    Work with Us

    • Student Ambassador Initiative
    • Wolfram for Startups
    • Student Opportunities
    • Jobs Using Wolfram Language

    Educational Programs for Adults

    • Summer School
    • Winter School

    Educational Programs for Youth

    • Middle School Camp
    • High School Research Program
    • Computational Adventures

    Read

    • Stephen Wolfram's Writings
    • Wolfram Blog
    • Wolfram Tech | Books
    • Wolfram Media
    • Complex Systems
    • Educational Resources
      • Wolfram MathWorld
      • Wolfram in STEM/STEAM
      • Wolfram Challenges
      • Wolfram Problem Generator
    • Wolfram Initiatives
      • Wolfram Science
      • Wolfram Foundation
      • History of Mathematics Project
    • Events
      • Stephen Wolfram Livestreams
      • Online & In-Person Events
    • Contact Us
    • Connect & Follow
  • Wolfram|Alpha
  • Wolfram Cloud
  • Your Account
  • User Portal
Wolfram Language & System Documentation Center
PeriodogramArray
  • See Also
    • Periodogram
    • ImagePeriodogram
    • Fourier
    • Partition
    • SpectrogramArray
    • DirichletWindow
  • Related Guides
    • Fourier Analysis
    • Audio Analysis
    • Signal Visualization & Analysis
    • Audio Representation
    • See Also
      • Periodogram
      • ImagePeriodogram
      • Fourier
      • Partition
      • SpectrogramArray
      • DirichletWindow
    • Related Guides
      • Fourier Analysis
      • Audio Analysis
      • Signal Visualization & Analysis
      • Audio Representation

PeriodogramArray[list]

returns the squared magnitude of the discrete Fourier transform (power spectrum) of list.

PeriodogramArray[list,n]

averages the power spectra of non-overlapping partitions of length n.

PeriodogramArray[list,n,d]

uses partitions with offset d.

PeriodogramArray[list,n,d,wfun]

applies a smoothing window wfun to each partition.

PeriodogramArray[list,n,d,wfun,m]

pads partitions with zeros to length m prior to the computation of the transform.

PeriodogramArray[image,…]

returns the squared power spectrum of image.

PeriodogramArray[audio,…]

returns the squared power spectrum of audio.

PeriodogramArray[video,…]

returns the squared power spectrum of the first audio track in video.

Details and Options
Details and Options Details and Options
Examples  
Basic Examples  
Scope  
Options  
FourierParameters  
Properties & Relations  
Possible Issues  
Neat Examples  
See Also
Related Guides
History
Cite this Page
BUILT-IN SYMBOL
  • See Also
    • Periodogram
    • ImagePeriodogram
    • Fourier
    • Partition
    • SpectrogramArray
    • DirichletWindow
  • Related Guides
    • Fourier Analysis
    • Audio Analysis
    • Signal Visualization & Analysis
    • Audio Representation
    • See Also
      • Periodogram
      • ImagePeriodogram
      • Fourier
      • Partition
      • SpectrogramArray
      • DirichletWindow
    • Related Guides
      • Fourier Analysis
      • Audio Analysis
      • Signal Visualization & Analysis
      • Audio Representation

PeriodogramArray

PeriodogramArray[list]

returns the squared magnitude of the discrete Fourier transform (power spectrum) of list.

PeriodogramArray[list,n]

averages the power spectra of non-overlapping partitions of length n.

PeriodogramArray[list,n,d]

uses partitions with offset d.

PeriodogramArray[list,n,d,wfun]

applies a smoothing window wfun to each partition.

PeriodogramArray[list,n,d,wfun,m]

pads partitions with zeros to length m prior to the computation of the transform.

PeriodogramArray[image,…]

returns the squared power spectrum of image.

PeriodogramArray[audio,…]

returns the squared power spectrum of audio.

PeriodogramArray[video,…]

returns the squared power spectrum of the first audio track in video.

Details and Options

  • PeriodogramArray works with numeric arrays of any rank, 2D and 3D images, and sound objects.
  • In PeriodogramArray[list,n,d,wfun], the smoothing window wfun can be specified using a window function that will be sampled between and or a list of length n. The default window is DirichletWindow, which effectively does no smoothing.
  • PeriodogramArray[list,n] is equivalent to PeriodogramArray[list,n,n,DirichletWindow,n].
  • PeriodogramArray[list,{n1,n2,…}] partitions a nested list into blocks of size n1×n2×….
  • For multidimensional arrays, n is taken to be equivalent to {n,n,…}.
  • PeriodogramArray works with numeric lists, as well as Audio and Sound objects.
  • For multichannel sounds and images, PeriodogramArray is computed for each channel separately.
  • PeriodogramArray accepts the FourierParameters option. The default setting is FourierParameters->{0,1}.

Examples

open all close all

Basic Examples  (3)

Power spectrum of a list:

Power spectrum of a noisy dataset:

Power spectrum of a texture image:

Scope  (5)

Specify the partition length:

Use overlapping partitions:

Smooth with a Hamming window:

Use a numerical array as a custom smoothing window:

Increase the length of the discrete Fourier transform to smooth the power spectrum data:

Power spectrum of an image:

Visualization of a 3D power spectrum of a modulated pulse:

Process the audio track of a video:

Options  (1)

FourierParameters  (1)

Change in the first Fourier parameter affects scaling:

Change in the second Fourier parameter does not affect the result:

Properties & Relations  (4)

Verification of Parseval's theorem:

Comparison with ListFourierSequenceTransform:

With partitions longer than the list, a zero-padded version of the list is used:

Use logarithmic scaling to visualize the power spectra of an image:

Possible Issues  (1)

When averaging over partitions, Parseval's theorem may be violated:

Neat Examples  (1)

3D visualization of a stack of 2D power spectra of a modulated pulse:

See Also

Periodogram  ImagePeriodogram  Fourier  Partition  SpectrogramArray  DirichletWindow

Function Repository: IrregularPeriodogram  WelchSpectralEstimate

Related Guides

    ▪
  • Fourier Analysis
  • ▪
  • Audio Analysis
  • ▪
  • Signal Visualization & Analysis
  • ▪
  • Audio Representation

History

Introduced in 2012 (9.0) | Updated in 2014 (10.0) ▪ 2016 (11.0) ▪ 2024 (14.1)

Wolfram Research (2012), PeriodogramArray, Wolfram Language function, https://reference.wolfram.com/language/ref/PeriodogramArray.html (updated 2024).

Text

Wolfram Research (2012), PeriodogramArray, Wolfram Language function, https://reference.wolfram.com/language/ref/PeriodogramArray.html (updated 2024).

CMS

Wolfram Language. 2012. "PeriodogramArray." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2024. https://reference.wolfram.com/language/ref/PeriodogramArray.html.

APA

Wolfram Language. (2012). PeriodogramArray. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/PeriodogramArray.html

BibTeX

@misc{reference.wolfram_2025_periodogramarray, author="Wolfram Research", title="{PeriodogramArray}", year="2024", howpublished="\url{https://reference.wolfram.com/language/ref/PeriodogramArray.html}", note=[Accessed: 01-March-2026]}

BibLaTeX

@online{reference.wolfram_2025_periodogramarray, organization={Wolfram Research}, title={PeriodogramArray}, year={2024}, url={https://reference.wolfram.com/language/ref/PeriodogramArray.html}, note=[Accessed: 01-March-2026]}

Top
Introduction for Programmers
Introductory Book
Wolfram Function Repository | Wolfram Data Repository | Wolfram Data Drop | Wolfram Language Products
Top
  • Products
  • Wolfram|One
  • Mathematica
  • Notebook Assistant + LLM Kit
  • Compute Services
  • System Modeler

  • Wolfram|Alpha Notebook Edition
  • Wolfram|Alpha Pro
  • Mobile Apps

  • Wolfram Engine
  • Wolfram Player

  • Volume & Site Licensing
  • Server Deployment Options
  • Consulting
  • Wolfram Consulting
  • Repositories
  • Data Repository
  • Function Repository
  • Community Paclet Repository
  • Neural Net Repository
  • Prompt Repository

  • Wolfram Language Example Repository
  • Notebook Archive
  • Wolfram GitHub
  • Learning
  • Wolfram U
  • Wolfram Language Documentation
  • Webinars & Training
  • Educational Programs

  • Wolfram Language Introduction
  • Fast Introduction for Programmers
  • Fast Introduction for Math Students
  • Books

  • Wolfram Community
  • Wolfram Blog
  • Public Resources
  • Wolfram|Alpha
  • Wolfram Problem Generator
  • Wolfram Challenges

  • Computer-Based Math
  • Computational Thinking
  • Computational Adventures

  • Demonstrations Project
  • Wolfram Data Drop
  • MathWorld
  • Wolfram Science
  • Wolfram Media Publishing
  • Customer Resources
  • Store
  • Product Downloads
  • User Portal
  • Your Account
  • Organization Access

  • Support FAQ
  • Contact Support
  • Company
  • About Wolfram
  • Careers
  • Contact
  • Events
Wolfram Community Wolfram Blog
Legal & Privacy Policy
WolframAlpha.com | WolframCloud.com
© 2026 Wolfram
© 2026 Wolfram | Legal & Privacy Policy |
English