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20212026
most citedRespiratory Rate Estimation Based on WiFi Frame Capture

23 citations · 27 across the 11 of their papers we have counts for

collaborators

11 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…

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★ 4 cited

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…

cs.AR2025

Online Training and Inference System on Edge FPGA Using Delayed Feedback Reservoir

Sosei Ikeda, Hiromitsu Awano, Takashi Sato

A delayed feedback reservoir (DFR) is a hardwarefriendly reservoir computing system. Implementing DFRs in embedded hardware requires efficient online training. However, two main ch…

eess.AS2024

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…

quant-ph2024

SPulseGen: Succinct pulse generator architecture maximizing gate fidelity for superconducting quantum computers

Ryosuke Matsuo, Kazuhisa Ogawa, Hidehisa Shiomi +6

This paper proposes a cost-effective architecture for an RF pulse generator for superconducting qubits. Most existing works use arbitrary waveform generators (AWGs) that require bo…

cs.AR2023

Modular DFR: Digital Delayed Feedback Reservoir Model for Enhancing Design Flexibility

Sosei Ikeda, Hiromitsu Awano, Takashi Sato

A delayed feedback reservoir (DFR) is a type of reservoir computing system well-suited for hardware implementations owing to its simple structure. Most existing DFR implementations…

eess.SP2021★ 23 cited

Respiratory Rate Estimation Based on WiFi Frame Capture

T. Kanda, T. Sato, H. Awano +2

This paper presents a method that estimates the respiratory rate based on the frame capturing of wireless local area networks. The method uses beamforming feedback matrices (BFMs)…

cs.RO2021

Binary Neural Network in Robotic Manipulation: Flexible Object Manipulation for Humanoid Robot Using Partially Binarized Auto-Encoder on FPGA

Satoshi Ohara, Tetsuya Ogata, Hiromitsu Awano

A neural network based flexible object manipulation system for a humanoid robot on FPGA is proposed. Although the manipulations of flexible objects using robots attract ever increa…