IEEE

A Generalization of the Convolution Theorem and Its Connections to Non-Stationarity and the Graph Frequency Domain

Abstract: In this paper, we present a novel convolution theorem which encompasses the well known convolution theorem in (graph) signal processing as well as the one related to time-varying filters.
IEEE

Fusion Analysis of EEG-fNIRS Multimodal Brain Signals: A Multitask Classification Algorithm Incorporating Spatial-Temporal Convolution and Dual Attention Mechanisms

Abstract: Brain–computer interface (BCI) is an important way of human-computer interaction, with the ability to monitor brain states, and it has become an increasingly significant research direction.

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...