Abstract: Array synthesis under practical constraints is a vital design task. Traditional array synthesis methods usually deal with isolated antenna elements without considering mutual coupling (MC) ...

Abstract: This paper introduces an innovative low-cost, wide-angle beam-scanning digitally reconfigurable intelligent array that leverages the co-manipulation of both the element factor and array ...

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Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

would it be (in principle) possible to use numpy.array_api instead of numpy as array backend for the generated python code? Note that numpy.array_api is a reference implementation of the array API ...

Your codespace will open once ready. There was a problem preparing your codespace, please try again. This tutorial will teach you the basic skills needed to use NumPy for Machine Learning. It will ...

Now you can have Cython’s speed boost without its cumbersome syntax, using the pure Python syntax you know and love. Cython has long been one of the great secret weapons of Python performance, letting ...

A six-element Yagi-Uda array is optimally designed using Central Force Optimization (CFO) with a small amount of pseudo randomly injected negative gravity. CFO is a simple, deterministic metaheuristic ...