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).
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