Abstract: This paper focuses on the fault-tolerant consensus problem of multi-agent systems under an encoding-decoding framework with Markovian switching topologies. Due to the influence of complex ...

Abstract: This study investigates the performance of discrete-time systems under quantized iterative learning control. An encoding–decoding mechanism is combined with a spherical polar ...

Computational optics represents a shift in approach where optical hardware and computational algorithms are designed to work together, enabling imaging capabilities that surpass those of traditional ...

I was working on the implementation of the properties/metadata for the decoder and encoder of animations and possibly for non-animated counterparts as well. I've identified that the most common ...

ABSTRACT: With the development of globalization and the advancement of technology, the exchanges and communication within multiple cultures become increasingly close and frequent. However, the ...

The story of compression in live broadcast production is a long, complex and ongoing one. But a new white paper from Sony Group company Nevion, entitled Video Encoding in Live Broadcast Production, ...

This study presents a useful method for the extraction of behaviour-related activity from neural population recordings based on a specific deep learning architecture, a variational autoencoder.

This is the code for the Decoding speech from non-invasive brain recordings. paper, published in Nature Machine Intelligence in 2023 (also available on arxiv). In this work, we present a novel method ...