collaborators

7 papers

nlin.AO2026

Gradual emergence of temporal structures depending on the distance between neighboring callers in natural habitat of male treefrogs

Ikkyu Aihara, Ryu Takeda, Masahiro Shirasaka +3

Acoustic animals (e.g., insects and frogs) aggregate and produce sounds for mating. Well-organized chorus structures like call alternation and call synchrony indicate the importanc…

eess.AS2025

Window Function-less DFT with Reduced Noise and Latency for Real-Time Music Analysis

Cai Biesinger, Hiromitsu Awano, Masanori Hashimoto

Music analysis applications demand algorithms that can provide both high time and frequency resolution while minimizing noise in an already-noisy signal. Real-time analysis additio…

cs.ET2025

SOME: Symmetric One-Hot Matching Elector -- A Lightweight Microsecond Decoder for Quantum Error Correction

Xinyi Guo, Geguang Miao, Shinichi Nishizawa +3

Conventional quantum error correction (QEC) decoders such as Minimum-Weight Perfect Matching (MWPM) and Union-Find (UF) offer high thresholds and fast decoding, respectively, but b…

cs.AR2025

Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation

Hiroto Tagata, Takashi Sato, Hiromitsu Awano

Deep neural networks (DNNs) have been widely applied in our society, yet reducing power consumption due to large-scale matrix computations remains a critical challenge. MADDNESS is…

cs.AR2025

Fast Parameter Optimization of Delayed Feedback Reservoir with Backpropagation and Gradient Descent

Sosei Ikeda, Hiromitsu Awano, Takashi Sato

A delayed feedback reservoir (DFR) is a reservoir computing system well-suited for hardware implementations. However, achieving high accuracy in DFRs depends heavily on selecting a…

cs.LG2025

Hardware-Friendly Delayed-Feedback Reservoir for Multivariate Time-Series Classification

Sosei Ikeda, Hiromitsu Awano, Takashi Sato

Reservoir computing (RC) is attracting attention as a machine-learning technique for edge computing. In time-series classification tasks, the number of features obtained using a re…