A continuous-time average consensus system is a linear dynamical system
...
This study investigates the use of continuous-time dynamical systems for...
The power consumption of the integrated circuit is becoming a significan...
Federated learning is a collaborative model training method by iterating...
The f-fault-toleratant connectivity labeling (f-FTC labeling) is a schem...
Motivated by emerging technologies for energy efficient analog computing...
We propose a novel optimization-based decoding algorithm for LDPC-coded
...
A distributed algorithm for least mean square (LMS) can be used in
distr...
Deep unfolding is a promising deep-learning technique, whose network
arc...
Multicast beamforming is a promising technique for multicast communicati...
The Landweber algorithm defined on complex/real Hilbert spaces is a grad...
Deep unfolding is a promising deep-learning technique in which an iterat...
A novel method which is called the Chebyshev inertial iteration for
acce...
Sparsely spread code division multiple access (SCDMA) is a promising
non...
This year, 2019 we celebrate 30 years of our friendship between Asian an...
In this paper, we study a compute-and-forward (CAF) relaying scheme with...
Complex-field linear/nonlinear inverse problems are central issues in
wi...
The compute-and-forward (CAF) scheme has attracted great interests due t...
We present a novel optimization-based decoding algorithm for LDPC codes ...
The paper presents a deep learning-aided iterative detection algorithm f...
Compute-and-forward (CAF) relaying is effective to increase bandwidth
ef...
The paper presents a deep learning-aided iterative detection algorithm f...
We discuss secure transmission via an untrusted relay when we have a mul...
Connectivity of wireless sensor networks (WSNs) is a fundamental global
...
A low-precision analog-to-digital converter (ADC) is required to impleme...
In this paper, we propose a column by column encoding scheme suitable fo...
Compute-and-forward relaying is effective to increase bandwidth efficien...
k-connectivity of random graphs is a fundamental property indicating
rel...
In this paper, we propose a novel sparse signal recovery algorithm calle...
The fault tolerance of random graphs with unbounded degrees with respect...
In this paper, we propose majority voting neural networks for sparse sig...