Abstract: Today's digital phased array architectures face the challenges of exponential growth in processing and digital data flow as arrays increase in size, element count, instantaneous bandwidth, ...

This chapter covers the fundamentals of array processing for narrowband signals and linear arrays. In array processing, the signals originated from sources are collected by a set of receivers arranged ...

Later in the DATA step, when you want to process the variables in the array, you can refer to a variable by either its name or its array reference. For example, the names Reference and books{1} are ...

This technical artical delves into the concept of compressed sensing and its applications in array signal processing, demonstrating its effectiveness through MATLAB implementations. Compressed sensing ...

A python implementation of “Self-Supervised Learning of Spatial Acoustic Representation with Cross-Channel Signal Reconstruction and Multi-Channel Conformer” [TASLP 2024] ...