# Introduction Orthogonal Matching Pursuit (OMP) is a method for recovering a sparse signal from a noisy measurement encoded with a dictionary. In this lab, we will use scikit-learn to implement OMP to recover a sparse signal from a noisy measurement. ## VM Tips After the VM startup is done, click the top left corner to switch to the **Notebook** tab to access Jupyter Notebook for practice. Sometimes, you may need to wait a few seconds for Jupyter Notebook to finish loading. The validation of operations cannot be automated because of limitations in Jupyter Notebook. If you face issues during learning, feel free to ask Labby. Provide feedback after the session, and we will promptly resolve the problem for you.
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