Skip to content
MathWorks

Self-Paced Online Courses

  • Self-Paced Content
  • MathWorks
  • MATLAB Help Center
  • Community
  • Learning
  • Get MATLAB MATLAB
  • Sign In
    • My Account
    • My Community Profile
    • Link License

    • Sign Out
  • Contact MathWorks Support
  • Visit mathworks.com
  • Online Courses
MathWorks MathWorks

Select a Web Site

Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .

  • (English)
  • (Deutsch)
  • (Français)
  • (简体中文)
  • (English)

You can also select a web site from the following list

How to Get Best Site Performance

Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.

Americas

  • América Latina (Español)
  • Canada (English)
  • United States (English)

Europe

  • Belgium (English)
  • Denmark (English)
  • Deutschland (Deutsch)
  • España (Español)
  • Finland (English)
  • France (Français)
  • Ireland (English)
  • Italia (Italiano)
  • Luxembourg (English)
  • Netherlands (English)
  • Norway (English)
  • Österreich (Deutsch)
  • Portugal (English)
  • Sweden (English)
  • Switzerland
    • Deutsch
    • English
    • Français
  • United Kingdom (English)

Asia Pacific

  • Australia (English)
  • India (English)
  • New Zealand (English)
  • 中国
    • 简体中文
    • English
  • 日本 (日本語)
  • 한국 (한국어)

Contact your local office

image for course Spectral Analysis Techniques

Spectral Analysis Techniques

Gain a comprehensive understanding of techniques for estimating the power spectrum of signals. Use parametric and non-parametric methods to calculate the power spectral density (PSD) of signals.  Explore standard techniques of spectral analysis to improve the accuracy of the power spectral estimation.

Course modules

Introduction

Get an overview of the course.

Lessons:
  • Course Overview
  • Learning Outcomes and Prerequisites
  • Course Example
  • Generate Healthy Fan Signals

Discrete Fourier Transform

Estimate the power spectrum of signals with different frequency components using discrete Fourier transform.

Lessons:
  • Fourier Transform
  • Fast Fourier Transform

Periodogram

Estimate the power spectral density of signals using the periodogram.

Lessons:
  • Is FFT enough?
  • Calculate the Periodogram

Improve the Frequency Resolution of Spectrum

Improve the frequency resolution of the signal spectrum by extending the signal length.

Lessons:
  • Find Frequency Spikes
  • Number of DFT Points
  • Improve Precision

Manage Spectral Leakage

Multiply a signal segment with a window function to mitigate spectral leakage and edge effects.

Lessons:
  • Windowing
  • Create and Apply Windows
  • Compare Different Windows
  • Resolve Tiny Tones
  • Resolve Closely Spaced Tones

Welch's Method

Improve power spectrum results for noisy signals.

Lessons:
  • Spectral Analysis Techniques for Noisy Signals
  • Spectrum of Noisy Signals
  • Welch's Method
  • Decrease Window Length
  • Downsides of Welch's Method
  • Increase Overlap

Parametric and Subspace Methods

Estimate the power spectral density for signals with short durations.

Lessons:
  • Frequencies in Short Signals
  • Parametric Methods
  • Subspace Methods

Conclusion

Learn next steps and give feedback on the course.

Lessons:
  • Summary
  • Next Steps
  • Course Survey

Format:Self-paced

Language:English

Language

  • Hands-on exercises with automated feedback
  • Access to MATLAB through your web browser
  • Shareable progress report and course certificate

Signal Processing Onramp

An interactive introduction to signal processing methods for spectral analysis.

  • Trust Center
  • Trademarks
  • Privacy Policy
  • Preventing Piracy
  • Application Status
  • Contact Us

© 1994-2025 The MathWorks, Inc.