Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: In this tutorial brief, we introduce a unified wideband phase-noise theory framework of frequency synthesis based on a multirate timestamp modeling with ...
I had two reasons for making this. First off, I want to start 3d-printing out cases for some of my Arduino or Rasberry Pi hobby projects, and wanted an accurate virtual model of the boards I order for ...
Prospector (https://github.com/bd-j/prospector) is an SED modeling code that wraps FSPS stellar modeling and Dynesty dynamical nested Bayesian sampling. It enables ...
Abstract: The ionosphere plays a critical role in many electromagnetics applications, ranging from long-distance communications to geolocation and satellite communications. As a result, it is of ...
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