Industry 4.0 requires simple solutions for complex functions. Optical sensors, such as pinhole cameras, can deliver a depth of focus and reasonable resolution, but they suffer from low intensity for ...

B. Rafaely, Fundamentals of Spherical Array Processing, vol. 8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. doi: 10.1007/978-3-662-45664-4. O. Nadiri and B. Rafaely, "Localization of ...

In computer science, the way data is organized can significantly impact the efficiency of algorithms. This principle is vividly observed when comparing the processing speed of sorted versus unsorted ...

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, ...

Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array ...

Abstract: For about two decades, many fourth order (FO) array processing methods have been developed for both direction finding and blind identification of non-Gaussian signals. One of the main ...

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 ...

Array signal processing is a well-established area of research, spanning from phased array antennas in the middle of the last century to hands-free audio in recent years. As devices incorporating ...

In a development for artificial intelligence, researchers have unveiled a synaptic device array that shows promise for enhancing artificial visual systems. This innovative array, measuring a compact 0 ...