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Geometric Representation of Signals

Chris Bore - Available in 10 days, 20 hours and 7 minutes (2021-10-04 11:00 EDT)

Representing signals as geometric vectors is a simple and fundamental basis of signal processing. Outlined by Shannon in the same paper that introduced Sampling Theory, it offers powerful and intuitive ways to think about and analyze signal processing, but is often neglected in favour of the numerical technique that implement its methods. In this talk Chris Bore revisits this interesting topic and its relationship especially with Fourier Transforms, filters and communications.
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