Estimating the graph power spectrum forms an important component of stationary graph signal processing and related inference tasks ... graphs in that the graph nodes leading to the best compression ...

Recent advancements in EEG signal compression have focused on optimising the balance between data fidelity and compression ratios. Notable developments include the application of motion ...

At its core, digital signal processing transforms analog signals into discrete data using careful techniques such as sampling and quantisation, thereby enabling their manipulation using ...

Yet in a crude analogy, the same general sort of thing is plausible in the digital world of encrypted data. Computer ...

“The truthfulness or reliability of the data, which refers to the data quality and the data value. Big data must not only be ...

Abstract: This paper investigates the relation between graph signal processing and consensus of multi-agent systems. The graph signal processing is a technique to process graph signals, that is, ...

We sell different types of products and services to both investment professionals and individual investors. These products and services are usually sold through license agreements or subscriptions ...