They can represent individual data points as 1D arrays, manage matrices as 2D arrays for image recognition or text processing, and even handle higher-dimensional data like video or time-series data.

For small-scale problems, matrices can be explicitly computed and manipulated with Python numerical scientific libraries ... PyLops exploits this to represent linear operators not as array of numbers, ...

IMPORTANT: N should be the same for all these arrays. There is exactly one triangle and slip value used for each observation point. If, instead, you want to create a matrix representing the ...

However, the ubiquitous coherent sources across various emerging applications pose unique challenges for direction-of-arrival (DOA) estimation with sparse arrays. In this work, based on insight into ...

Conventional focused transmit schemes using 2D matrix arrays, trade off sufficient volume rate for beam density or sector size to image rapid moving structure such as the heart, which lowers accuracy ...