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.
- 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 signals from patterns, finding change points, locating peaks, and identifying trends