The Information Security researchers at University College London (UCL) analyzed an archive of 12.16 million GPS observations ...

Abstract: A reduced complexity sequential decoding algorithm for polar (sub) codes is described. The proposed approach relies on a decomposition of the polar (sub) code being decoded into a number of ...

Abstract: In this letter, we propose a new decoding algorithm to improve the bit error rate performance of the hard-input hard-output (HIHO) turbo product codes (TPC ...

In the past decade, the automotive light detection and ranging (LiDAR) has been experiencing a rapid expansion stage. Many researchers have been involved in the research of LiDARs and have installed ...

In recent years, motor imagery-based brain–computer interfaces (MI-BCIs) have developed rapidly due to their great potential in neurological rehabilitation. However, the controllable instruction set ...

Sequence models are designed to handle data that is dependent on previous or subsequent items. Examples of sequential data include text streams, audio clips, and time-series data. Recurrent Neural ...

DARPA has selected BAE Systems to develop a new data-driven, machine-learning algorithm to decode radio frequency signals. The $9.2 million contract will fund work to apply machine learning to ...

It's that time again. Facebook is changing its News Feed algorithm, and online publishers and ad companies are trying to figure out who's in the crosshairs this time around. In what Facebook described ...

An important motivation for the design of BMIs so far has been their potential ability to restore lost motor function in individuals with neurological injury or disease (for example, because of motor ...