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image for course Time-Frequency Analysis

Time-Frequency Analysis

Explore fundamental techniques for analyzing signals with time-varying characteristics to understand their spectral properties. You'll learn both Fourier and wavelet time-frequency analysis to effectively examine real-world signals that exhibit non-stationary and transient events.

Course modules

Introduction

Get an overview of the course.

Lessons:
  • Course Overview
  • Learning Outcomes and Prerequisites
  • Course Example

Time-Varying Signals

Learn the difference between constant-frequency and time-varying frequency signals and familiarize yourself with different time-frequency visualization techniques.

Lessons:
  • Time-Varying Frequency Signals

Fourier Time-Frequency Analysis

Apply Fourier time-frequency spectral analysis techniques to improve results for time-varying signals.

Lessons:
  • Spectrogram
  • Improve the Time Resolution

Wavelet Time-Frequency Analysis

Apply wavelet time-frequency analysis techniques to enhance the spectral representation of signals with rapidly changing frequencies.

Lessons:
  • Scalogram
  • Improve the Frequency Resolution

Project

Apply concepts that you learned in this course to a project.

Lessons:
  • Identify Fan Faults

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.

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