From the 1 of 9 linked papers with an AI index.
5 papers · 1 filter
Dynamic Sensor Scheduling Based on Node Partitioning of Graphs
Ryouke Ikura, Junya Hara, Hiroshi Higashi +1
This paper proposes a dynamic sensor scheduling method for sensor networks. In sensor network applications, we often need multiple equally-informative node subsets that are activat…
Auditory Attention Decoding without Spatial Information: A Diotic EEG Study
Masahiro Yoshino, Haruki Yokota, Junya Hara +2
Auditory attention decoding (AAD) identifies the attended speech stream in multi-speaker environments by decoding brain signals such as electroencephalography (EEG). This technolog…
Algorithm Unrolling-based Denoising of Multimodal Graph Signals
Hayate Kojima, Keigo Takanami, Junya Hara +4
We propose a denoising method for multimodal graph signals by an alternating minimization scheme that sequentially solves signal restoration and graph learning problems. Many compl…
Dynamic Sensor Placement Based on Sampling Theory for Graph Signals
Saki Nomura, Junya Hara, Hiroshi Higashi +1
In this paper, we consider a sensor placement problem where sensors can move within a network over time. Sensor placement problem aims to select K sensor positions from N candidate…
Time-Varying Graph Signal Estimation among Multiple Sub-Networks
Tsutahiro Fukuhara, Junya Hara, Hiroshi Higashi +1
This paper presents an estimation method for time-varying graph signals among multiple sub-networks. In many sensor networks, signals observed are associated with nodes (i.e., sens…