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Lesson 2: Comparing Signals (Time Domain)


This Notebook introduces techniques to compare signals in the time domain, including Euclidean distance, cross-correlation, and Dynamic Time Warping (DTW).

You can view the Notebook in html here but we also strongly recommend working with our Notebooks locally by performing a git clone on https://github.com/makeabilitylab/signals.git and running the Jupyter Notebook on your system (see installation notes).

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In the next lesson, you’ll learn about frequency analysis, including Discrete Fourier Transforms (DFTs) and the intuition for how they work, Fast Fourier Transforms and spectral frequency plots, and Short-time Fourier Transforms (STFTs) and spectrograms.

Previous: Quantization and Sampling Next: Frequency Analysis