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Power Spectral Density and Hilbert Transform

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US Army Research Laboratory Aberdeen Proving Ground United States

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This technical report focuses on the Hilbert transform and some of its applications for digital signal processing. Herein we review power spectral density and complex exponentials, and illustrate how the Hilbert transform converts a real signal real in the sense of a real time domain function and symmetric Fourier transform into an analytic signal. We then demonstrate how multiplication by a complex exponential is used for frequency translation and provide 2 uses for the Hilbert transform in a software-defined radio 1 creating an analytic signal and 2 recovering single sideband. Examples of upgrading a software-defined radio architecture with new algorithms software are also provided.

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Technical Report,01 Sep 2016,01 Sep 2016



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Approved For Public Release;

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