The TSL2014 and TSL210 are linear sensor arrays for scanning longer documents, such as bank forms, paper currency notes and labels covered by the A6 format, which has become a standard size. The ...

As a PowerShell user and developer, I often want to reverse an array or string. As a developer who has been using array multiplication to pretty great effect in Turtle, I think it would be ...

Abstract: In this letter, we propose a new sparse linear array (SLA), termed delay coprime array (DCA), and correspondingly develop a low-complexity direction of arrival (DOA) estimation algorithm. In ...

Element-wise multiplication in Python is a fundamental operation, especially when working with numerical data using libraries like NumPy. Understanding how to perform this efficiently is crucial for ...

Abstract: Sparse linear arrays serve as the fundamental basis for sparse signal processing and have demonstrated remarkable direction-of-arrival (DOA) estimation performance. Due to the merit of ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

What if you could unlock the full potential of Excel’s dynamic arrays within your tables, making your data management more efficient and powerful? Integrating dynamic arrays within Excel tables can be ...

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...