In addition to the financial burdens of HEVC licensing, the risk of lawsuits from patent holders can deter companies from ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Abstract: In this letter, a method based on an encoder–decoder fully convolutional network is proposed for the efficient synthesis of planar arrays fulfilling user-defined beampattern masks. The ...

Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new ...

A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...

Gray codes, also known as reflected binary codes, offer a clever way to minimize errors when digital signals transition between states. By ensuring that only one bit changes at a time, they simplify ...

Add a description, image, and links to the convolutional-encoder-decoder topic page so that developers can more easily learn about it.

ABSTRACT: Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction ...

Abstract: Jamming signal power detection (JPD) is a crucial step in wireless jamming cognition technology. By detecting the power values of multiple jamming signals, prior information can be provided ...

ECoG signals are widely used in Brain-Computer Interfaces (BCIs) due to their high spatial resolution and superior signal quality, particularly in the field of neural control. ECoG enables more ...