New signal-processing algorithms have been shown to help mitigate the impact of turbulence in free-space optical experiments, potentially bringing ‘free space’ internet a step closer to reality. The ...

Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.

Signal processing is pervasive in today’s vehicles, in applications ranging from engine controllers to entertainment systems. With annual automotive sales now at roughly 60 million units worldwide, it ...

Compressive sensing is a paradigm shift in signal acquisition and processing that exploits the intrinsic sparsity of many natural and engineered signals to enable ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

Figure | Working principle of the intelligent metasurface. Concept and workflow of the no-code multimodal OCT platform. An illustrative schematic demonstrating the primary capabilities of the ...

The residue number system (RNS) offers a non-positional arithmetic framework in which integers are represented as sets of residues with respect to a chosen moduli set. In digital signal processing ...

MIPS, Inc. is a leading vendor of 32-bit licensable processor cores that are commonly found in set-top boxes and cable modems, among other products. In recent years, MIPS has augmented its cores with ...

CATALOG DESCRIPTION: discrete-time random process, second-order statistics, autoregressive and moving average processes, linear prediction, Wiener filter, stochastic gradient (Least Mean Square) ...

Join us in pioneering goal-oriented semantic wireless communications to define the 6G and beyond era: Design and implement cutting-edge AI-driven communication strategies, signal processing algorithms ...