Justin (Jay) Smallwood

Tag: linear algebra

  • Spatial Filtering

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    Justin Smallwood
    in , , ,

    I’ve been looking recently at decompositions of matrices, specifically the eigendecomposition, and the singular value decomposition (SVD). Check out my last article to see more! Today we’re specifically going to look at an example of using the eigendecomposition to remove radio frequency interference from an astronomical observation! The eigendecomposition of a symmetric, non-negative definite square…

  • What’s So Important About Covariance Matrices, Anyway?

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    Justin Smallwood
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    I’ve often been interested in why covariance matrices are important to so many different fields of mathematics. I mean, I know they are important for knowing covariances between different features, but why are they useful beyond that? Specifically, if I’m looking at some time series data from different detectors, how can they help me find…