This ground-breaking resource gives you the background theories and know-how you need to effectively design active phased array antennas with wider bandwidth and scan volume utilizing sparse array ...

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 project implements sparse data structures (1D sparse array and 2D sparse matrix) using doubly linked lists. Instead of storing large arrays and matrices full of zeros (wasting time and memory), ...

A new technical paper titled “Signal processing architecture for a trustworthy 77GHz MIMO Radar” was published by researchers at Fraunhofer FHR, Ruhr University Bochum, and Wavesense Dresden GmbH.

TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach When working with tensors that contain a lot of zero values, it is important to ...

For ordinary array tasks, SparseArray aims to have comparable memory usage and acceptable speed relative to an ordinary Array. However, indexed accesses are slower, due to internal searches. I use ...