Signal Preprocessing and Feature Extraction for Data Analytics with MATLAB
This one-day course shows how to use MATLAB®, Signal Processing Toolbox™, and Wavelet Toolbox™ to preprocess time-based signals and extract key features in the time and frequency domains. This course is intended for data scientists and engineers analyzing signals (time series) for data analytics applications. No prior knowledge on signal processing is needed for this course.
- Creating, importing, and visualizing signals
- Preprocessing to improve data quality, including filling data gaps, resampling, smoothing, aligning signals, finding and removing outliers, and handling non-uniformly sampled signals
- Extracting features in the time and frequency domains, including finding patterns in signals, finding change points, locating peaks, and identifying trends