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Signal Processing Onramp

Learn the basics of practical signal processing techniques in MATLAB®. Use spectral analysis and filtering techniques to preprocess, analyze, and extract information from signal data.

Course modules

Course Overview

Familiarize yourself with the course.

Lessons:
  • Course Overview
  • Generate Signals

Signal Data in MATLAB

Import signals into MATLAB and view power spectra.

Lessons:
  • Earthquake Example
  • Import a Signal
  • Signal Analyzer
  • View Power Spectrum
  • Compare Signals

Preprocessing Signals

Clean up time base and align signals.

Lessons:
  • Preprocessing Techniques
  • Resample Signals
  • Extract Interesting Regions
  • Custom Preprocessing Function
  • Align Signals

Spectral Analysis

Perform spectral analysis to view signals in the frequency domain.

Lessons:
  • Frequency Analysis
  • Customize Power Spectrum Plot
  • Time-Frequency Analysis
  • Create Time-Frequency Plots

Filtering

Filter signals using basic techniques.

Lessons:
  • Filtering
  • Lowpass Filter
  • Bandpass Filter

Signal Measurements

Extract information from signals.

Lessons:
  • View Generated Code
  • Signal Measurements

Conclusion

Learn next steps and give feedback on the course.

Lessons:
  • Summary
  • Additional Resources
  • 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

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