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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Abstract: This letter develops a novel transmit beamforming (BF) design for canceling self-interference (SI) in analog in-band full-duplex phased arrays. Our design maximizes transmit BF gain in a ...
An Easily Applied and Recompiled Multi-platform Precise Point Position (PPP) Toolbox Coded in Python
We provide a set of example data and a quick-start jupyter notebook tutorial "ppp.ipynb". Make sure that you have sucessufully installed the Python as well as the numpy in your environment. Due to the ...
This library supports calculation of uniform boundaries, confidence sequences, and always-valid p-values. These constructs are useful in sequential A/B testing, best-arm identification, and other ...
Abstract: The silicon-based electroencephalography (EEG) sensing technology encounters performance limitations due to spectral distortions caused by micromachining, which significantly degrade its ...
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