Abstract: The sparse array could reduce the cost of physical antennas. However, implementing wideband beamforming directly based on the covariance matrix of the received signals from the sparse array ...

This document is designed to help users quickly understand, use, and maintain the Python implementation of the Matrix-Sparsity-Based Pauli Decomposition (MSPD) algorithm. It specifies the function, ...

Quantum computing has the potential to revolutionize a wide range of scientific fields, including cryptography, drug discovery, climate modeling, finance, and artificial intelligence. Unlike classical ...

TapSwap, a Telegram mini-app, has rapidly gained popularity with over 60 million users by offering a tap-to-earn mechanism to mine TAPS coins. Players engage via simple gameplay, tapping a virtual ...

TapSwap, a Telegram mini-app, has quickly risen to popularity with over 60 million players by early July 2024. Players earn TAPS coins through a simple tap-to-earn mechanic. The game offers daily ...

The history of computing could arguably be divided into three eras: that of mainframes, minicomputers, and microcomputers. Minicomputers provided an important bridge between the first mainframes and ...

Abstract: In this paper, a genetic algorithm (GA) with matrix mapping is proposed for the uniform amplitude sparse planar arrays with multiple constraints, which include the number of elements, the ...

I'm trying to convert a huge scipy csc_matrix (27998 x 1306127, int32) to a persistent zarr array. Here is the code I'm using: However, this fails because scipy cannot convert sparse matrices with ...